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Japanese language course for beginners based on MISJ
h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, 2 channels, s16 | 9h 22 mn | 11.7 GB
Instructor: Iwasaki Mikiko
MISJ WELCOME PROGRAM Section 1: Orientation, survival everyday conversations & how to handle Japanese NOUNS in Japanese
What you'll learn
Basic Japanese pronunciation
Basic reading and writing of Japanese hiragana and katakana characters
Basic grammar for making sentences using NOUNS
Basic conversation skills which reflect your intelligence, which will allow you to make friends and enjoy shopping.
Requirements
The willingness to learn Japanese language and culture
English listening ability
This program is carefully designed so that you can learn everything systematically. So, when you study this program for the first time, be sure to watch the videos from the beginning, in order, without jumping around to random topics. When you review, you may watch them in any order.
If you can smoothly read and write hiragana and katakana already, just skip those parts.
Description
First five lessons of the MISJ WELCOME PROGRAM.
Pronunciation, writing and reading of basic characters, how to make NOUN-based sentences, and how to ask and answer questions using these sentences. Conversational topics include: greetings, self-introductions, finding locations, asking for personal information such as names, home countries, occupations, ages, and telephone numbers, talking about family, ordering things, and shopping.
Who this course is for:
This is the first of three sections of the MISJ WELCOME PROGRAM. MISJ stands for Mikiko Iwasaki's Systematic Japanese.
The WELCOME PROGRAM is suitable for beginners who want to make a good start of learning Japanese. But it also helps people who want to re-build a solid foundation of Japanese language study.
Hundreds of our students, from countries across the world, recommend the MISJ WELCOME PROGRAM. Sign up today!
Homepage
Code: http://anonymz.com/?https://www.udemy.com/course/misj-welcome-program-section-1/
Code: https://nitroflare.com/view/0C2E83AAB833316/Japanese_language_course_for_beginners_based_on_MISJ.part01.rar
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Jim Rohn - Foundations For Success
MP4 + MP3+ PDF | Video: 960x540 | Audio: AAC, 44.1Khz , 2ch | Duration: 29 hours | Language: English | 12.7 GB
This program is PACKED with the same step-by-step training that Jim has taught to thousands who have become Master Thought Leaders, business superstars and influential people who have created inspired lives, exceeded their goals and contribute deeply to their families, community and culture.
Understand the timeless wisdom and simple philosophies that have catapulted these Modern Masters to unprecedented success, financial freedom, meaning, and impact.
Maximize time, energy and resources to drive the results you want in your life. Learn how to build an affluence plan and create a life of abundance and financial freedom.
Master the universal laws that have catapulted today's Masters to tremendous success.
Learn the philosophical shifts to create a life with more health, wealth, love, and happiness, so you never stop progressing.
Discover how to intelligently direct your emotions to leverage your potential.
Unlock the secrets to creating a life of fulfillment, purpose, and meaning that jolts you out of bed in the morning.
Learn how to skillfully paint solutions to keep customers happy and drive up profits.
Master proven leadership strategies that get noticed by employees, business partners, investors, and executives.
What You'll Learn Inside The Program
Each video module includes a workbook and downloadable audio file so that you can listen on the go. The training is introduced by a Master Thought Leader who will share his or her own perspective and best practices before leading you into the core Jim Rohn training. Darren Hardy closes each module with a final inspirational message.
Module 1: Philosophy - Mark Victor Hansen
Develop a guidance system to make your dreams come true
Lock in opportunities to enrich your life
Learn the simple truths that create massive success and join the 10%
Set your sail for success, joy, pleasure and abundance
Module 2: Attitude - Denis Waitley
Unlock your potential with these essential and powerful shifts
Avoid the diseases of attitude that sabotage success
Intelligently direct your emotions to leverage potential
Master the strategic shifts to live with intensity, passion and purpose
Module 3: Goals - Brian Tracy
Strategically craft goals to revolutionize your future
Create and implement a disciplined action-plan to achieve your dreams
Destination is determined by direction
Module 4: Leadership - John C. Maxwell
Build, inspire and lead your team to get results and drive success
Maximize time, energy and resources to get results
Master the skills of possibility, opportunity, rationality and ability
Discover and hone your optimal leadership style
Module 5: Lifestyle - Connie Podesta
Design an extraordinary life
Unlock the secrets to creating a life of meaning
Craft a life of possibilities, abundance and influence
Transform your future by developing the abilities to absorb, respond, reflect and act
Module 6: Communication - Les Brown
Master the art of effective communication
Relate to others with accuracy, sincerity, brevity and style
Pinpoint and hone your perfect communication style
Proven strategies to create deeper connections and masterful influence
Module 7: Influence - Tom Hopkins
Learn the proven presentation strategies for maximum impact
Master the art of persuasion to influence people and get results
Learn how to skillfully paint solutions to keep customers happy and drive up profits
Persuade with passion, authority and authenticity and get life-changing results
Module 8: Abundance - Tony Robbins
Build a life of financial independence and freedom
Learn the philosophy of the rich
Develop a financial statement & learn the disciplines of the top 1%
Create an affluence plan to develop and multiply wealth
Module 9: Productivity - Harvey Mackay
Maximize your most valuable asset (time)
Zero in with ultimate focus and work smarter not harder
Plan for your successful future so that you can create the lifestyle you desire
Module 10: Action - Darren Hardy
On any ONE day you can massively change the direction of your life!
Learn the 4 essential questions for instant action
Get the 3 proven strategies to change anything
Plus, For A Limited Time You Will Receive These Seven Valuable Bonuses:
BONUS #1
How to Have Your Best Year Ever with an Introduction by John Addison
In these 4 life-changing videos and companion downloadable audio files, Jim Rohn shows how simple it is to begin to turn dreams into reality and shares the proven principles that inform, educate, energize and inspire you to make this year your best year ever.
BONUS #2
Classic Collection Success Seminars
Jim Rohn's seminars, The Philosophy of Success and Skills for Success in the Marketplace highlight the success principles for creating a thriving business and a life that you love. Includes 2 hours of exclusive audio.
BONUS #3
Jim Rohn at the San Francisco Hilton
In this special seminar, Jim Rohn shared his most priceless insights on success in business and life, including turning ideas into profit and the principles of personal development. Includes 6 videos and 6 audio files.
BONUS #4
How to Use a Journal
Jim Rohn's seminars, The Philosophy of Success and Skills for Success in the Marketplace highlight the success principles for creating a thriving business and a life that you love. Includes 2 hours of exclusive audio.
BONUS #5
Living an Exceptional Life
Design your best life. In this life-changing 47-minute video and downloadable audio, Jim Rohn teaches the foundations for reaching your goals and living an engaged, passionate and affluent life.
Exceptional Life
BONUS #6
The Weekend Seminar
In this weekend seminar, Jim Rohn shares the ideas, strategies and proven principles that helped him achieve mega success in both business and in life. Includes 12 audio files.
BONUS #7
3 Keys to Greatness
Create an affluent life! In this video and audio guide to achieving financial independence and success, Jim Rohn covers the three places to begin in the quest for a future full of abundance, happiness and wealth.
BONUS #8
Mentor to the Masters
The documentary featuring today's Master Thought Leaders as they discuss the timeless message and mentorship of Jim Rohn and the ten Foundations for Success.
BONUS #9
Tony Robbins and Jim Rohn
Create an affluent life! In this video and audio guide to achieving financial independence and success, Jim Rohn covers the three places to begin in the quest for a future full of abundance, happiness and wealth.
BONUS #10
12-month Digital Subscription to SUCCESS Magazine
Discover your path to greater achievement. Each issue provides an inside look at the success habits of leading CEOs, entrepreneurs, athletes, celebrities and other great achievers. Learn their tips and methods for time management, setting goals, staying motivated, inspiring colleagues and employees, living a healthy lifestyle, balancing work and family and more!
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Exam AZ-103 Microsoft Azure Administrator (Video)
Video: .MP4, 1280x720 30 fps | Audio: AAC, 48kHz, 2ch | Duration: 9h 3m
Genre: eLearning | Language: English | Size: 12.5 GB
The Exam AZ-103 Microsoft Azure Administrator (Video) offers full coverage of the MS AZ-103 exam so you can learn everything you need to know to pass the exam. Coverage includes cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust, with the goal of passing the AZ-103 Exam. The Exam AZ-103 Microsoft Azure Administrator (Video) offers 9 full hours of video training on all core concepts in the AZ-103 exam so you can fully understand cloud concepts, core Azure Services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust. It will prepare Azure Administrators to implement, monitor, and maintain Microsoft Azure solutions, including major services related to compute, storage, network, and security. With 9 hours of hands-on demonstrations, it will provide the knowledge necessary to pass the exam and become Microsoft Certified: Microsoft Azure Administrator.
With years of IT experience, numerous publications under his belt, and a wealth of expertise teaching in the field, Michael Shannon is uniquely qualified to prepare students for the Microsoft Azure Administrator AZ-103 exam.
Topics include:
Module 1: Manage Azure subscriptions and resources
Module 2: Implement and manage storage
Module 3: Deploy and manage virtual machines (VMs)
Module 4: Configure and manage virtual networks
Module 5: Manage identities
About the Instructor
Michael J. Shannon began his IT career when he transitioned from recording studio engineer to network technician for a major telecommunications company in the early 1990s. He soon began to focus on security and was one of the first 10 people to attain the HIPAA Certified Security Specialist. Throughout his 30 years in IT, he has worked as an employee, contractor, and consultant for several companies including Platinum Technologies, Fujitsu, IBM, State Farm, MindSharp, and Pearson, among others. Mr. Shannon has authored several books, training manuals, published articles, and CBT modules over the years as well. He is the senior technical instructor for Skillsoft Corporation, specializing in all things cloud and security. Skill Level
Intermediate/Advanced
Learn How To
Manage Azure subscriptions and resources
Implement and manage storage
Deploy and manage virtual machines (VMs)
Configure and manage virtual networks
Manage identities
Who Should Take This Course
Anyone preparing to take the Microsoft Azure Administrator AZ-103 exam
Anyone looking to understand Microsoft Azure from a broad perspective
Anyone with a Microsoft background interested in learning about cloud computing
Course Requirements
Experience with Microsoft operating systems combined with a fundamental knowledge of cloud computing and virtualization are recommended but not required.
Lesson Descriptions
Module 1, "Manage Azure Subscriptions and Resources," first works with how to manage Azure Subscriptions, and then moves on to analysis of resource utilization and consumption. The module finishes with how to manage resource groups and Role-based Access Control (RBAC).
Module 2, "Implement and Manage Storage," covers how to create and configure storage accounts. It also delves into importing and exporting data to Azure and configuring Azure files. The module finishes with Implementing Azure Backup.
Module 3, "Deploy and Manage Virtual Machines (VMs)," first tackles how to create and configure a VM for Windows and Linux. It then covers automating the deployment of VMs and how to Manage Azure VMs. The module ends with an exploration of the management of VM backups.
Module 4, "Configure and Manage Virtual Networks," discusses all things related to virtual networking infrastructure, including how to create connectivity between virtual networks, and implementing and managing virtual networking. Creating and configuring Network Security Groups (NSG) and implementing Azure load balancer are also covered. The last two lessons in this module explain monitoring and troubleshooting virtual networking, and integrating on-premises networks with virtual networking.
Module 5, "Manage Identities," covers managing Azure Active Directory (AD), managing Azure AD Objects, implementing and managing hybrid identities, and in the final lesson, implementing multi-factor authentication (MFA).
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Threads: 2
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Joined: Jan 2019
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Build Reactive RESTFUL APIs using Spring Boot/WebFlux
h264, yuv420p, 1280x720 |ENGLISH, aac, 48000 Hz, 2 channels, s16 | 9h 39 mn | 6.5 GB
Instructor: Dilip S
Learn to write reactive programming in Spring using WebFlux/Reactor and build Reactive RESTFUL APIs.
What you'll learn
What problems Reactive Programming is trying to solve ?
What is Reactive Programming?
Reactive Programming using Project Reactor
Learn to Write Reactive programming code with DB
Learn to Write Reactive Programming with Spring
Build a Reactive API from Scratch
Learn to build Non-Blocking clients using WebClient
Write end to end Automated test cases using JUNIT for the Reactive API
Requirements
At least JDK 8
Any one of the IDE like IntelliJ, Eclipse, etc.,
Spring Boot Knowledge is a must to make the most out of this course
Description
This course is structured to give you both the theoretical and coding aspect of Reactive Programming and Reactive RestFul APIs using Spring WebFlux.
If you are looking forward to learn the below listed things:
What is Reactive Programming ?
Write Reactive Programming code with Spring WebFlux.
Write Reactive Programming code with DB.
Building Reactive RestFul APIs with Spring WebFlux
Then this is the right course for you. This is a pure hands on oriented course where you will be writing lots of code.
By the end of this course you will have the complete understanding of coding and implementing a Reactive API using Spring WebFlux.
Why Reactive Programming ?
This section highlights about the need for reactive programming and explains in detail about the current execution model in spring-mvc.
This sections explains about the drawbacks in spring-mvc.
This section explains about the concurrency model in spring-mvc.
What is Reactive Programming?
This section talks about "What is Reactive Programming ?"
How Reactive programming works in a nutshell using a simple example.
This section will give you all an introduction to Reactive Streams Specification.
This section will give all an introduction to "Reactive Libraries" that are out there.
Getting started with Project Reactor
This section will give you all the fundamentals of Project Reactor and explore the project reactor using some examples.
This section covers the Reactive Types Flux and Mono in detail.
Setting up the Project for this course
In this section we will set up the project for this course using the Spring Intializr website.
Reactive Programming (Flux and Mono) - Hands on + Junit Testing
In this section we will explore about how Flux and Mono works via code.
We will do live coding on how to write Junit test cases using Flux and Mono.
We will explore lot of different operators in Flux and Mono.
Build the first Non Blocking RESTFUL API using Annotated Controllers - Hands On
In this section we will build the first non blocking API using the annotated controllers.
This section covers the fundamentals of how the reactive API works.
This sections also covers the coding aspect of how to return a Flux/Mono from an end point.
This section also covers how to write JUNIT test cases using WebTestClient.
Build Non Blocking RESTFUL API using Functional Web - Hands On
In this section we will build the non blocking API using the Functional Web Module.
This sections explains about the RouterFunction and HandlerFunction which forms the foundation for Function Web Module.
This section also covers how to write JUNIT test cases using WebTestClient.
Spring WebFlux & Netty - Execution Model
This section explains about the different layers behind WebFlux to serve a HTTP Request/Response.
This sections covers the concepts of NETTY such as Channel, EventLoop and some of the technical aspects of Netty.
Overview of the Reactive API
This section will give you an Overview of the Reactive API that we are going to build as part of this course.
Reactive Programming in Databases - MongoDB - Hands On
In this section we will learn about how to write the reactive programming code with MongoDB.
Define the Item Document for the project.
This section covers about how to configure different profiles in Spring Boot.
In this section we will set up the ItemReactive Mongo DB adapter.
This section also covers how to write JUNIT test cases for the reactive repository.
Build the Item Reactive API Endpoint - Using RestController
In this section we will learn about how to code the Item CRUD Reactive API using the @RestController approach.
This section also covers how to write automated tests using JUNIT and the non blocking test client WebTestClient.
Build the Item Reactive API Endpoint - Using Functional Web
In this section we will learn about how to code the Item CRUD Reactive API using the Functional Web approach.
This section also covers how to write automated tests using JUNIT and the non blocking test client WebTestClient.
Build Non Blocking Client using WebClient
In this section we will explore the techniques to interact with Reactive API using the WebClient.
Learn the techniques to Invoke the Reactive API using exchange() and retrieve() methods.
We will explore the GET, PUT, POST and DELETE operations using the WebClient.
Handling Exceptions in WebFlux - RestController
In this section we will code and explore different approaches to handle the exceptions/errors that occurs in the reactive api that's built using RestController.
Handle exceptions using @ExceptionHandler and @ControllerAdvice.
This section also covers how to write JUNIT test cases for the Exception scenarios.
Handling Exceptions in WebFlux - Functional Web
In this section we will code and explore different approaches to handle the exceptions/errors that occurs in the reactive api that's built using Functional Web.
Handle exceptions using WebExceptionHandler.
This section also covers how to write JUNIT test cases for the Exception scenarios.
WebClient - Exception Handling
In this section we will code and explore how to handle the exceptions using the WebClient.
Learn the techniques to handle the exceptions using exchange() and retrieve() methods.
Streaming Real Time Data using WebFlux - Server Side Events (SSE)
In this section we will code and learn about build an endpoint for Streaming RealTime Data using Mongo DB and Spring WebFlux.
This section covers about the Tailable Cursors and Capped Collections in Mongo DB.
Build a Non Blocking Streaming Endpoint and interact with the Mongo DB using the @Tailable annotation.
Learn to write Automated Tests using JUNIT for the Streaming Endpoints (SSE).
Who this course is for:
Anyone who is willing to learn and build Reactive APIs using Spring WebFlux
Homepage
Code: http://anonymz.com/?https://www.udemy.com/course/build-reactive-restful-apis-using-spring-boot-webflux/
Code: https://nitroflare.com/view/8785204354D9F85/build-reactive-restful-apis-using-spring-boot-webflux.part1.rar
https://nitroflare.com/view/FE791363326CA2B/build-reactive-restful-apis-using-spring-boot-webflux.part2.rar
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Code: https://rapidgator.net/file/d5c80a60b21ca1ae4a3b649d1140d058/build-reactive-restful-apis-using-spring-boot-webflux.part1.rar.html
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https://rapidgator.net/file/1fe58bf169e65426651f4eb1546ee060/build-reactive-restful-apis-using-spring-boot-webflux.part6.rar.html
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Jordan Mackey - Make Money On Youtube Made Easy 2019
WEBRip | English | MP4 | 1920 x 1080 | AVC ~1729 Kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | ~6 hours | 5.89 GB
Genre: eLearning Video / Business, Sales, Marketing
In this unique course I will take you step-by-step using the EXACT blueprint and secrets I used to generate this income on Youtube. I will teach you the essential secret tricks I have used to get over $100,000 on Youtube using videos that YOU DON'T HAVE TO MAKE! You don't have to have a camera, a microphone, or make your own videos. There is no other course like this and you will not find this information anywhere else.
I will serve as your over-the-shoulder guide through the entire process and give you secrets such as how to choose a successful niche, how to download, upload, and monetize videos LEGALLY that do not have copyright licenses, secret tips to increase views and watch time, how to create unlimited youtube channels using unlimited phone numbers, how to gain additional views and subscribers easily, how to avoid getting your channel deleted or getting copyright strikes, how to get rid of copyright strikes, how to get past the youtube demonitization bots, how to get past the monetization review process quickly and easily, how to get your videos ranking on the search results, how to effectively use SEO strategies, and a secret trick to making more money on youtube than ANYONE else is able to generate doing one simple secret that will increase your revenue times 10. This will also work in ANY COUNTRY IN THE WORLD, so no matter where you live you can make money on Youtube.
I will also teach you a VERY EASY way you can get to the monetization review process within two weeks with just ONE video! This means you will be able to have a monetized channel to start making money within just a couple weeks, with barely any work involved!
As an added bonus, which will be WORTH THE PRICE of the course on it's own, you will be given access to a special facebook group that is dedicated to students helping each other grow each other's youtube channels through giving free subscribes, likes, comment, views, and watch time to other student's channels. This means your channel will grow EXTREMELY FAST and you will reach the monetization review process in no time, because you will be given free subscribes, views, likes, and comments on your channel by other students! This is ONLY available to students who have purchased the course.
What Will I Get Out Of This Course?
You will receive step-by-step training on every single aspect of generating revenue on Youtube, WITHOUT having to make your own videos! You will receive the blueprint I used and the special tips and tricks for how to choose a successful niche, how to download, upload, and monetize videos LEGALLY that do not have copyright licenses, secret tips to increase views and watch time, how to create unlimited youtube channels using unlimited phone numbers, secret to increasing views and subscribers, how to avoid getting your channel deleted or getting copyright strikes, how to get rid of copyright strikes, how to get past the youtube demonitization bots, how to get past the monitization review process quickly and easily, how to get your videos ranking on the search results, and a secret trick to making more money on youtube than ANYONE else is able to generate doing one simple secret that will increase your revenue times 10. You will also receive access to a special mastermind where I will answer any questions you have and can get tips, tricks, and answer questions from other students, as well as a Facebook group where all of the students will help you grow your channel quickly by giving you free subscribers, views, and watch time!
Code: https://nitroflare.com/view/9B43CD6B51DC99A/MakemoneyYeasy.part1.rar
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Code: https://rapidgator.net/file/d867de27790260120d3294aeb91e5c04/MakemoneyYeasy.part1.rar.html
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https://rapidgator.net/file/5c07d0096cbad58858d77cef943f231c/MakemoneyYeasy.part6.rar.html
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Machine Learning Masterclass
Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Duration: 53:44:40
Genre: eLearning | Language: English + Subtitles | Size: 57.4 GB
Top University Professor
What you'll learn
Hypothesis Space and Inductive Bias
Evaluation and Cross-Validation
Linear Regression
Learning Decision Tree
Python Exercise on Decision Tree and Linear Regression
and Much MUch More!!
Requirements
Beginners are Welcome!
Description
Hello everyone and welcome to this course on an introduction to machine learning
in this course we will have a quick introduction to machine learning and this will not be very deep in a mathematical sense but it will have some amount of mathematical trigger and what we will be doing in this course is covering different paradigms of machine learning and with special emphasis on classification and regression tasks and also will introduce you to various other machine learning paradigms. In this introductory lecture set of lectures I will give a very quick overview of the different kinds of machine learning paradigms and therefore I call this lectures machine learning. )
A brief introduction with emphasis on brief right, so the rest of the course would be a more elongated introduction to machine learning right.
So what is machine learning so I will start off with a canonical definition put out by Tom Mitchell in 97 and so a machine or an agent I deliberately leave the beginning undefined because you could also apply this to non machines like biological agents so an agent is said to learn from experience with respect to some class of tasks right and the performance measure P if the learners performance tasks in the class as measured by P improves with experience.
So what we get from this first thing is we have to define learning with respect to a specific class of tasks right it could be answering exams in a particular subject right or it could be diagnosing patients of a specific illness right.
So but we have to be very careful about defining the set of tasks on which we are going to define this learning right, and the second thing we need is of a performance measure P right so in the absence of a performance measure P you would start to make vague statement like oh I think something is happening right that seems to be a change and something learned is there is some learning going on and stuff like that.
So if you want to be clearer about measuring whether learning is happening or not you first need to define some kind of performance criteria right.
So for example if you talk about answering questions in an exam your performance criterion could very well be the number of marks that you get or if you talk about diagnosing illness then your performance measure would be the number of patients that you say are the number of patients who did not have adverse reaction to the drugs you gave them there could be variety of ways of defining performance measures depending on what you are looking for right and the third important component here is experience right.
So with experience the performance has to improve right and so what we mean by experience here in the case of writing exams it could be writing more exams right so the more the number of exams you write the better you write it better you get it test taking or it could be a patient's in the case of diagnosing illnesses like the more patients that you look at the better you become at diagnosing illness right.
So these are the three components so you need a class of tasks you need a performance measure and you need some well-defined experience so this kind of learning right where you are learning to improve your performance based on experience is known as a this kind of learning where you are trying to where you learn to improve your performance with experience is known as inductive learning.
And then the basis of inductive learning goes back several centuries people have been debating about inductive learning for hundreds of years now and are only more recently we have started to have more quantified mechanisms of learning right. So but one thing I always point out to people is that if you take this definition with a pinch of salt, so for example you could think about the task as fitting your foot comfortably right.
So you could talk about whether a slipper fits your foot comfortably or let me put so I always say that you should take this definition with a pinch of salt because take the example of a slipper you know, so the slipper is supposed to give protection to your foot right and a performance measure for the slipper would be whether it is fitting the leg comfortably or not or whether it is you know as people say there is biting your leg or is it
Chaffin your feet right and with experience you know as the slipper knows more and more about your foot as you keep varying the slipper for longer periods of time it becomes better at the task of fitting your foot right as measured by whether it is shattering your foot or whether it is biting your foot or not right.
So would you say that the slipper is learned to fit to your foot well by this definition yes right so we have to take this with a pinch of salt and so not every system that confirms to this definition of learning can be set to learn usually okay. (Refer Slide Time: 06:11) So going on so there are different machine learning paradigms that we will talk about and the first one is supervised learning where you learn an input to output map right so you are given some kind of an input it could be a description of the patient who comes to comes to the clinic and the output that have to produce is whether the patient has a certain disease or not so this they had to learn this kind of an input to output map or the input could be some kind of equation right and then output would be the answer to the question or it could be a true or false question I give you a description of the question you have to give me true or false as the output.
And in supervised learning what you essentially do is on a mapping from this input to the required output right if the output that you are looking for happens to be a categorical output like whether he has a disease or does not have a disease or whether the answer is true or false then the supervised learning problem is called the classification problem right and if the output happens to be a continuous value like, so how long will this product last before it fails right or what is the expected rainfall tomorrow right so those kinds of problems they would be called as regression problems. These are supervised learning problems where the output is a continuous value and these are called as regression problems. So we will look at in more detail
classification and regression as we go on right, so the second class of problems are known as unsupervised learning problems right where the goal is not really to produce an output in response to an input but given a set of in data right we have to discover patterns in the data right. So that is more of the testicle unsupervised learning there is no real desired output that we are looking for right we are more interested in finding patterns in the data. So clustering right is one task one unsupervised learning task where you are interested
in finding cohesive groups among the input pattern right, for example I might be looking at customers who come to my shop right and I want to figure out if there are categories of customers like so maybe college students could be one category and sewing IT professionals could be another category and so on so forth and when I'm looking at this kinds of grouping in my data, so I would call that a clustering task right.
So the other popular unsupervised learning paradigm is known as the Association rule mining or frequent pattern mining where you are interested in finding a frequent co-occurrence of items right in the data that is given to you so whenever A comes to my shop B also comes to my shop right. So those kinds of co-occurrence so I can always say that okay if I see A then there is likely very likely that B is also in my shop somewhere you know so I can learn these kinds of associations between data right. And again we look at this later in more detail
these are I mean there are many different variants on supervised and unsupervised learning but these are the main ones that we look at so the third form of learning which is called reinforcement learning it is neither supervised or unsupervised in nature and typically these are problems where you are learning to control the behavior of a system and I will give you more intuition intone enforcement learning now
in one of the later modules, so like I said earlier. (Refer Slide Time: 09:33) So for every task right, so you need to have some kind of a performance measure so if you are looking at classification the performance measure is going to be classification error so typically right.
So we will talk about many, many different performance measures in the duration of this course but the typical performance measure you would want to use this classification error it's how many of the items or how many of the patients did I get incorrect so how many of them who are not having the disease today predict had the disease and how many of them that had the disease that I missed right. So that would be one of the
measures that I would use and that would be the measure that we want to use but we will see later that often that is not is not possible to actually learn directly with respect to this measure. So we use other forms right and likewise for regression again so we have the prediction error suppose I say it is going to rain like 23 millimeters and then it ends up raining like 49centimeters I do not know so that is a huge prediction error right and in terms of clustering so this is little becomes a little trickier to define performance measures we don't
know what is a good clustering algorithm because we do not know what how to measure the quality of clusters.
So people come up with all different kinds of measures and so one of the more popular ones is a scatter or spread of the cluster that essentially tells you how spread out the points are that belong to a single group if you remember we are supposed to find cohesive groups, so if the group is not that cohesive it's not all of them are not together then you would say the clustering is of a poorer quality and if you have other ways of measuring things like Alec was telling you, so if you know that people are college students right and then you can figure out that how many what fraction of your cluster or college students.
So you can do this kinds of external evaluations so one measure that people use popularly there is known as purity right and in the Association rule mining we use variety of measures called support and confidence that takes a little bit of work to explain support in confidence so I will defer it and I talked about Association rules in detail and in more in the reinforcement learning tasks so if we remember I told you it is learning to control so you are going to have a cost for controlling the system and also the measure here is cost and you would
like to minimize the cost that you are going to accrue while controlling the system. So these are the basic machine learning tasks. (Refer Slide Time: 12:11) So there are several challenges when you are trying to build a build a machine learning solution right so a few of these I have listed on this slide right the first one is you have to think about how good is a model that you have learned right so I talked about a few measures on the previous slide but often those are not sufficient there are other practical considerations that come into play and
we will look at some of these towards thee there was a middle of the course somewhere right and the bulk of the time would be spent on answering the second question which is how do I choose a model right. So given some kind of data which will be the experience that we are talking about so given this experience how would I choose how would I choose a model right that somehow learns what I want to do right so how that improves itself with experience and so on so how do I choose this model and how do I actually find the parameters of the model that gives me the right answer right. So this is what we will spend much of our time on in this
course and then there are a whole bunch of other things that you really have to answer to be able to build a useful machine loose full data analytics or data mining solutions questions like do I have enough data do I have enough experience to say that my model is good right it's the data efficient quality that could be errors in the data right suppose I have medical data and a is recorded as 225, so what does that mean it could be 225 days in which case it is a reasonable number it could be 22.5 years again is a reasonable number or 22.5 months is reasonable.
But if it is 225 years it's not a reasonable number so there is something wrong in the data right so how do you handle these things or noise in images right or missing values so I will talk briefly about handling missing values later in the course but this is as I mentioned in the beginning is a machine learning course right and this is not there is not primarily it is primarily concerned about the algorithms of machine learning and the and the math and the intuition behind those and not necessarily about the questions of building a practical
systems based on this. So I will be talking about many of these issues during the course but just that I want to reiterate that will not be the focus right and so the next challenge I have listed here is how confident can I be of the results and I want that I certainly we will talk a little bit because the whole premise of reporting machine learning results depends on how confident you can be of the results right and the last question am I describing the data correctly.
So that is a very, very domain dependent and the question that you can answer only with your experience as a machine learning or a data scientist professional or with time right, so but there are typical questions that you would like to ask that are there on the slides so from the next in the next module we look at the different learning paradigms in slightly more detail.
If you remember in supervised learning we talked about experience right where you have some kind of a description of the data. So in this case let us assume that I have a customer database and I am describing that by two attributes here, age and income.
So I have each customer that comes to my shop I know the age of the customer and the income level of the customers right. (Refer Slide Time: 00:48) And my goal is to predict whether the customer will buy a computer or not buy a computer right. So I have this kind of labeled data that is given to me for building a classifier right, remember we talked about classification where the output is a discrete value in this case it is yes or no, yes this is the person will buy a computer, no the person will not buy a computer.
And the way I describe the input is through a set of attributes in this case we are looking at age and income as the attributes that describe the customer right. And so now the goal is to come up with a function right, come up with a mapping that will take the age and income as the input and it will give you an output that says the person will buy the computer or not buy the computer. So there are many different ways in which you can create this function and given that we are actually looking at a geometric interpretation of the data,
I am looking at data as points in space. (Refer Slide Time: 01:57) The one of the most natural ways of thinking about defining this function is by drawing lines or curves on the input space right.
So here is one possible example, so here I have drawn a line and everything to the left of the line right. So these are points that are red right, so everything to the left of the line would be classified as will not buy a computer, everything to the right of the line where the predominantly the data points are blue will be classified as will buy a computer. So how would the function look like, it will look like something like if the income of a person remember that the x-axis is income and the y-axis is age.
So in this case it basically says that if the income of the person is less than some value right, less than some X then the person will not buy a computer. If the income is greater than X the person will buy your computer. So that is the kind of a simple function that we will define. It will just notice that way we completely ignore one of the variables here which is the age. So we are just going by income, if the income is less than some X then the person will not buy a computer, if the income is greater than X the person will buy a computer. So is this a good rule more or less I mean we get most of the points correct right except a few right.
So it looks like yeah, we can we can survive with this rule right. So this is not too bad right, but then you can do slightly better. (Refer Slide Time: 03:29) All right, so now we got those two red points that those just keep that points are on the wrong side of the line earlier. Now seem to be on the right side right, so
everything to the left of this line will not buy a computer, everything to the right will buy a computer right, everyone moves to the right will buy a computer. So if you think about what has happened here, so we have improved our performance measure right. So the cost of something, so what is the cost here. So earlier we are only paying attention to the income right, but now we have to pay attention to the age as well right. So the older you are right, so the income threshold at which we will buy a computer is higher
right. So the younger you are, younger means lower on the y axis, so the younger you are the income threshold at which you will buy a computer is lower right. So is that clear, so the older you are right, so the income threshold is shifted to the right here right so the older you are, so you need to have a higher income before you buy a computer and the anger you are your income threshold is lower, so you do not mind buying a computer even if your income is slightly lesser right.
So now we have to start paying attention to the age right, but then the advantage is you get much better performance right can you do better than this yes okay. (Refer Slide Time: 04:54) Now almost everything is correct except that one pesky red point, but everything else is correct. And so what has happened here we get much better performance, but at the cost of having a more complex classifier right. So earlier if you thought about it in geometric terms, so first you had a line that was parallel to the y-axis therefore, I just needed to define a intercept on the x-axis right. So if X is less than some value then it was one class was greater than some value was another class.
Then the second function it was actually a slighting line like that, so I needed to define both the intercept and the slope right. And now here it is now a quadratic so I have to define three parameters right. So I have to define something like ax2+ bx+c, so I have defined the ABC the three parameters in order to find the quadratic, and I am getting better performance. So can you do better than this. (Refer Slide Time: 05:57)
Okay the sum for does not seem right correct seems to be too complex a function just to be getting this one point there right. And I am not sure I am not even sure how many parameters you need for drawing that because Microsoft use some kind of spline PowerPoint use some kind of spline interpolation to draw this curve I am pretty sure that it is lot, lot more parameters than it is worth another thing to note here is that that particular red point that you see is actually surrounded by a sea of blue right. So it is quite likely that there was some glitch there either the person actually bought a computer and we never we have not recorded it has been having what computer or there are some extremist reason the person comes into the shop sure that is going to buy a computer but then gets a phone call saying that some emergency please come out immediately and therefore he left without buying a computer right there could be variety of reasons for why that noise occurred and this will probably be the more appropriate classifier right. So these are the kinds of issues I would like to think about what is the complexity of the classifier that I would like to have right and versus the accuracy of the classifier, so how good
is the classifier in actually recovering the right input output map and or their noise data in the in the input in the experience that I am getting is it clean or is there noise on it and if so how do I handle that noise these are the kinds of issues that we have to look at okay. (Refer Slide Time: 07:31) So these kinds of lines that we drew right kind of hiding one assumption that we are making so the thing is the data that comes to me comes as discrete points in the space right and from these discrete points in the space I need to generalize and be able to say something about the entire state space right so I do not care where the data point is on the x and y-axis right I should be able to give a label to that right. If I do not have some kind of assumption about these lines right and if you do not have some kind of assumptions about these lines the only thing I can do is if the same customer comes again hey or somebody who has exact same age and income as that cause customer comes again I can tell you whether the person is going to buy a computer or not buy a computer but I will not be able to tell you about anything else outside of the experience right. So the assumption we made is everything to the left of a line is going to do one thing or the other right so everything to the left of the line will not buy the computer everything to the right or everyone to the right will buy a computer this is an assumption I made the assumption was the Lions are able to segregate people who buy from who do not buy the lines or the curves were able to segregate people who will buy from who will not buy so that is a kind of an assumption I made about the distribution of the input data and the class labels. So this kind of assumptions that we make about these lines are known as inductive biases in general inductive bias has like two different categories one is called language bias which is essentially the type of lines that I am going to draw my gonna draw straight lines or am I going to draw curves and what order polynomials am I going to look at and so on so forth these for my language bias and such bias is the other form of inductive bias that tells me how in what order am I going to examine all these possible lines right
. So that gives me the gives me a search bias right, so putting these two these things together we are able to generalize from a few training points to the entire space of inputs right I will make this more formal as we go on and then in the next night set of modules right. (Refer Slide Time: 10:01) And so here is one way of looking at the whole process so I am going to be giving you a set of data which we will call the training set so the training set will be will consists of say as an input which we'll call as X and an output which we call as Y right, so I am going to have a set of inputs I have X1, X2, X3, X4 likewise I will have Y1, Y2, Y3, Y4 and t
his data is fed into a training this data is fed into a training algorithm right and so the data is going to look like this in our case right. So remember our X's are the input variable success all the inputs so in this case that should have the income and the age, so x1 is like 30,000 and 25 and x2 is like 80,000 and 45 and so on so forth and the Y's or the
labels they correspond to the colors in the previous picture right so y1 does not buy a computer Y2 buys a computer and so on so forth so this essentially gives me the color coding so y1 is essentially red and y2 is blue right and I really if I am going to use something numeric this is what we will be doing later on I really cannot be using these values first of all wise or not numeric and the X is varied too much right. So the first coordinate in the X is like 30,000 and 80,000 and so on so forth and the second coordinate is like 25 and 45 so that is a lot a lot smaller in magnitude so this will lead to some kind of numerical instabilities, so what will typically end up doing is normalizing these so that they form appropriate approximately in the same range so you can see that I have try to normalize these X values between 0 and 1 right.
So have chosen an income level of say 2 lakhs it is the maximum and age of 100 and you can see the normalized values and likewise for buys and not buy I have taken not by as - 1 and by as computer is + 1these are arbitrary choices, now but later on you will see that there are specific reasons for wanting to choose this encoding in this way alright and then the training algorithm chugs over this data right and it will produce a classifier so now this classifier I do not know I do not know whether it is good or bad right so we had a straight line in the first case right an axis parallel line if we did not know the good or bad and we needed to have some mechanism by which we evaluate this right. So how do we do the evaluation typically is that you have what is
called a test set or a validation set right so this is another set of x and y paths like we had in the training set, so again in the test set we know what the labels are it is just that we are not showing it to the training algorithm we know what the labels are because we need to use the correct labels to evaluate whether your trading algorithm is doing good or bad right so, so this process by which this evaluation happens is called validation later then of the validation. If you are happy with the quality of the classifier we can keep it if you are not happy they go back to the training algorithm and say hey I am not happy with what you produced give me something different right, so we have to either iterate over the algorithm again we will go over the data again and try to refine the parameter estimation or we could even think of changing some parameter values and then trying to redo the training algorithm all over again but this is the general process and we will see that many of the different algorithms that we look, look at in the course of fitting the course of these lectures actually follow this kind of a process okay so what happens inside that green box. (Refer Slide Time: 13:48) So inside the training algorithm is that there will be this learning agent right which will take an input and it will p
roduce an output white at which it thinks is the correct output right but it will compare it against the actual target why it was given for the in the training right, so in the training you actually have a target why so it will compare it against a target why right and then figure out what the error is and use the error to change the agent right so then it can produce the right output next time around this is essentially an iterative process so you see that input okay produce an output Y ha
t and then you take the target Y. You can compare it to the Y hat figure out what is the error and use the error to change the agent again right and this is by and large the way most of the learning all algorithms will operate most of the classification algorithms or even regression algorithms will open it and we will see how each of this works as, we go on right there are many, many applications. (Refer Slide Time: 14:46) I mean this is too numerous to list here are a few examples you could look at say a fraud detection right, so we have
some data where the input is a set of transactions made by a user and then you can flag each transaction as a valid transaction or not you could look at sentiment analysis you know varied Lee called opinion mining or buzz analysis etc. Where I give you a piece of text or a review written about and a product or a movie and then you tell me whether the movies whether the review is positive or whether is negative and what are the negative points that people are mentioning about and so on so forth and. This again a classification task or you could use it for doing churn prediction where you are going to say whether a customer who is in the system is likely to leave your system is going to continue using your product or using your service for a longer period of time, so this is essentially churn so when a person leaves your services you call the person earner and you can label what the person is Channel or not and I have been giving you examples form medical diagnosis all through apart from actually diagnosing whether a person has the disease or not you could also use it for risk analysis in the slightly indirect way I talked about that when we when we do the algorithms for classification. So we talked about how we are interested in learning different lines or curves that can separate different classes in supervised learning and, so this curves can be represented using different structures and throughout the course we will be looking at different kinds of learning mechanisms like artificial neural networks support vector machines decision trees nearest neighbors and Bayesian networks and these are some of the popular ones and we look at these in more detail as the course progresses so another supervised learning problem is the one of prediction. (Refer Slide Time: 16:45) Or regression where the output that you are going to pred
ict is no longer a discrete value it is not like we will buy a computer whereas not buy a computer it is more of a continuous value so here is an example, where at different times of day you have recorded the temperature so the input to the system is going to be the time of day and the output from the system is going to be the temperature that was measured at a particular point at the time right so you are going to get your experience or your training data is going to take this form so the blue points woul
d be your input and the red points would be the outputs that you are expected to predict. So note here that the outputs are continuous or real value right and so you could think of this in this toy example as points to the left being day and the points to the right being night right and just as in the previous case of classification, so we could try to do these simple as possible fit in this case which would be to draw a straight line that is as close as possible to these points now you do see that like in the classification case when it choose a simple solution there are certain points at which we are making large errors right so we could try to fix that.
And try to do something more fancy but you can see that while the daytime temperatures are more or less fine with the night times we seem to be doing something really off right because we are going off too much to thee the right-hand side all right how are you could do something more complex just like in the classification case where we wanted to get that one point right so we could try and fit all these temperatures that were given to us by looking at a sufficiently complex curve. And again this as we discussed earlier is probably not the right answer and you are probably in this case surprisingly or better off fitting the straight line rig
ht and so these kinds of solutions where we trying to fit the noise in the data we are trying to make the solution predict the noise in the training data correctly are known as over fitting over fit solut
ions and one of the things that we look to avoid in, in machine learning is to over fit to the training data. (Refer Slide Time: 19:21) So we will talk about this again and then new course right and so what we do is typically we would like to do what is called linear regression some of you might have come across this and of different circumstances and the typical aim in linear regression is to say take the error that your line is making so if you take an example point let us say I take any let us say I take an example point somewhere here righ
t. So this is the actual training data that is given to you and this is the prediction that your line is making at this point so this quantity is essentially the, the prediction error that this line is making and so what you do is you try to find that line that has the least prediction error right so you take the square of the errors that your prediction is making and then you try to minimize the, the sum of the squares of the errors why do we take the squares. (Refer Slide Time: 20:31) Because errors could be both positive or negative and we want to make sure that you are minimizing that regardless of the sign of the error okay and so with sufficient data right so a linear regression is simple enough you could just already using matrix inversions as we will see later but with many dimensions like the challenge is to avoid
over fitting like we talked about earlier and then there are many ways of avoiding this. And so I will again talk about this in detail when we look at linear regression
right so one point that I want to make is that linear regression is not as simple as it sounds right so here is an example so I have two input variables x1 and x2 right and if I try to fit a straight line with x1 and x2 I will probably end up with something like a1 x1 plus a2 x2 right and that looks like, like a plane in two dimensions right. But then if I just take these two dimensions and then transform them transform the input so instead of saying just the x1 and x2 if I say my input is going to look like x1 square x2 squared x1 x2 and then the x1 and x2 s it was in the beginning so instead of looking at a two-dimensional input if I am going to look at a 5 dimensional input right. So that wil
l and out now I am going to fit a line or a linear plane in this 5 dimensional input so that will be like a1 x1 squared plus a2 x2 square plus a3 x1 x2 plus a4 x1 plus a5 x2 now that is no longer the equation of a line in two dimensions right so that is the equation of a second-order polynomial in two dimensions but I can still think of this as doing linear regression because I am only fitting a function that is going to be linear in the input variables right so by choosing an appropriate transformation of the inputs. (Refer Slide Time: 22:38) I can fit any higher-order function so I could solve very complex problems using linear regression and so it is not really a weak method as you would think at first, first glance again we will
look at this in slightly more detail in the later lectures right and regression our prediction can be applied in a variety of places one popular places in time series prediction you could think about predicting rainfall in a certain region or how much you are going to spend on your telephone calls you could think of doing even classification using this.
If you think of you remember our encoding of plus 1 and minus 1 for the class labels so you could think of plus 1 and minus 1 as the outputs right and then you can fit a regression line regression curve to that and if the output is greater than 0 you would say this classis plus 1 its output is less than 0 you see the class is minus 1 so it could use the regression ideas to fitness will solve the classificat
ion problem and you could also do data addiction. So I really do not want to you know give you all the millions of data points that I have in my data set but what I would do is essentially fit the curve to that and then give you just the coefficients of the curve right. And more often than not that is sufficient for us to get a sense of the data and that brings us to the next application I have listed their which is trend analysis so I am not really interested in quite many times. I
am not interested in the actual values of the data but more in the, the trends so for example I have a solution that I am trying to measure the running times off and I am not really interested in the actual running time because with 37seconds to 38 seconds is not going to tell me much. But I would really like to know if the running time scales linearly or exponentially with the size of the important all right so those kinds of analysis again can be done using regression and in the last one here is again risk factor analysis like we had in classification and you can look at which are the factors that contribute most to the output so that brings us to the end of this module on supervised learning,,
Hello and welcome to this module on introduction to unsupervised learning, right. So in supervised learning we looked at how you will handle training data that had labels on it. (Refer Slide Time: 00:26) So this is this particular place this is a classification data set where red denotes one class and blue denotes the other class right. (Refer Slide Time: 00:35) And in unsupervised learning right so you basically have a lot of data that is given to you but they do not have any labels attached to them right so we look at first at the problem of clus
tering where your goal is to find groups of coherent or cohesive data points in this input space right so here is an example of possible clusters. (Refer Slide Time: 00:57) So those set of data points could form a cluster right and again now those set of data points could form a cluster and again those and those so there are like four clusters that we have identified in this in this setup so one thing to note here is that even in something like clustering so I need to have some form of a bias right so in this case the bias that I am having is in the shape of the cluster so I am assuming that the clusters are all ellipsoids right and therefore you know I have been drawing a specific shape curves for representing the clusters.
And also note that not all data points need to fall into clusters and there are a couple of points there that do not fall into any of the clusters this is primarily a artifact of me assuming that they are ellipsoids but still there are other points in the center is actually faraway from
all the other points in the in the data set to be considered as what are known as outliers so when you do clustering so there are two things so one is you are interested in finding cohesive groups of points and the second is you are also interested in finding data points that do not conform to the patterns in the input and these are known as outliers all right. (Refer Slide Time: 02:23) And that is as many mean different ways of an which you can accomplish clustering and we will look at a few in the course and the applications are numerous right so here are a few representative ones so one thing is to look at customer data right and try to discover the classes of customers you kno
w there are so earlier we looked at in the supervised learning case we looked at is that a customer will buy a computer or will not buy a computer as opposed to that we could just take all the customer data that you have and try to just group them into different kinds
of customers who come to your shop and then you could do some kind of targeted promotions and different classes of customers right. And this need not
necessarily come with labels you know I am not going to tell you that okay this customer is class 1 that customer is class 2 you are just going to find out which of the customers are more similar with each other all right. And as the second application which you have illustrated here is that I could do clustering on image pixels so that you could discover different regions in the image and then you could do some segmentation based on that different region so for example here it have a picture of a picture of a beach scene and then you are able to figure out the clouds and the sand and the sea and the tree from the image so that allows you to make more sense out of the image right.
Or you could do clustering on world usages right and you could discover synonyms and you could also do clustering on documents right and depending on which kind of documents are similar to each other and if I give you a collection of say 100,000 documents I might be able to figure out what are the different topics that are discussed in this collection of documents and many ways in which you can use clustering rule mining. (Refer Slide Time: 04:17)
And as I should give you a site about the usage of the word mining here so many of you might have heard of the term data mining and more often than not the purported data mining tasks are essentially machine learning problems right so it could be classification regression and so on so forth and the first problem that was essentially introduced as a mining problem and not as a learning problem was the one of mining frequent patterns and associations and that is one of the reasons
I call this Association rule mining as opposed to Association rule learning just to keep the historic connection intact right, so in Association rule mining we are interested in finding frequent patterns that occur in the input data and then we are looking at conditional dependencies among these patterns right.
And so for example if A and B occur together often right then I could say something like if A happens then B will happen let us suppose that so you have customers that are coming to your shop and whenever customer A visits your shop custom B also tags along with him right, so the next time you find customary
A somewhere in the shop so you can know that customer B is already there in the shop along with A. Or with very high confidence you could say that B is also in the shop at some somewhere else maybe not with A but somewhere else in the shop all right, so these are the kinds of rules that we are looking at Association rules which are conditional dependencies if A has come then B is also there right and so the Association rule mining process usually goes in two stages so the first thing is we find all frequent patterns. So A happens often so A is a customer that comes to measure the store often right and then I find that A and B are paths of customers that come to my store often so if I once I have that right A comes to my store often an A and B comes to my store often then I can derive associations from this kind this frequent patterns right and also you could do this in the variety of different settings you could find sequences in time series data right and where you could look at triggers for certain events. Or you could look at fault analysis right by looking at a sequence of events that happened and you can figure out which event occurs more often with the fault right or you could look at transactions data which is the most popular example given here is what is called Market Basket data so you go to a shop and you buy a bunch of things together and you put them in your basket so what is there in your basket right so this forms the transaction so you buy say eggs, milk and bread and so all of this go together in your basket. And then you can find out what are the frequently occurring patterns in this purchase data and
then you can make rules out of those or you could look at finding patterns and graphs that is typically used in social network analysis so which kind of interactions among entities happen often right so that is a that is another question that is what we looking at right. (Refer Slide Time: 07:31) So the most popular thing here is mining transactions so the most popular application here is mining transactions and as I mentioned earlier transaction is a collection o
f items that are bought together right and so here is a little bit of terminology and it is a set or a subset of items is often called an item set in the Association rule mining community and so the first step that you have to do is find fre
quent item sets right. And you can conclude that item set A if it is frequent implies item set B if both A and AUB or frequent item sets right so A and B are subset so AUB is another subset so if both A and AUB or frequent item sets then you can say that item set A implies item set B right and like I mentioned earlier so there are many applications here so you could think of predicting co-occurrence of events. (Refer Slide Time: 08:31) And Market Basket analysis and type series analysis like I mentioned earlier you could think of trigger events or false causes of False and so on so forth right so this brings us to the end of this module introducing unsupervised learning.
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Rai Educational - extr@ English
AVI | Video: MPEG-4 Visual 656 x 368 | Audio: AAC 48 Khz 2ch | Duration: 12:07:15 | 8.34 GB
Genre: eLearning | Language: English
extr@ English (Extra English) promises language learning with laughter, in an authentic London setting. With 30 hilarious, half-hour sitcom programmes, the extra@ series is a delight for anyone learning English, especially young adults. The adventures of the four main characters in their London flat are stylish, sexy and funny.
The extr@ (Extra English) series is equally at home in the language class and with friends and family, making it ideal for teacher-led and self-study language learning. The programmes feature lively, colloquial English dialogue. The characters speak naturally, but clearly with constant repetition and strong use of visual prompts that help learners without detracting from the sitcom format. Thanks to its underlying linguistic framework, the series follows a syllabus in line with the aims of modern EFL curricula, practicing functions and structures suitable for intermediate level learners.
Code: https://nitroflare.com/view/D41BDB38B95E3E5/Extr_Extra_English.part01.rar
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Code: https://rapidgator.net/file/468df1fe27438100ed85201216154f17/Extr_Extra_English.part01.rar.html
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The Complete Personal Productivity Course - Business & Life
Created by TJ Walker | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 27:33 H/M | Lec: 550 | 35.2 GB | Language: English | Sub: English [Auto-generated]
Your Personal Productivity Can Soar in Business and in Life. You Can Accomplish More!
What you'll learn
Enhanced personal productivity skills
Strategies for accomplishing bigger goals in less time
Tips for turning a cell phone into a productivity enhancer and not a time waster
Tactics for managing daily activities to accomplish more in you business and personal life
Ways to eliminate bad habits
Tips for maximizing technology to increase personal productivity
Requirements
A desire to improve your personal productivity
Self-Awareness
No Prior knowledge or tools required
Description
Personal Productivity. It is what defines the quality of your professional and personal life.
Imagine your personal productivity skyrocketing so that you can meet more and more of your professional objectives and your personal aspirations.
Your personal productivity is not a static measurement-it can be improved, dramatically and quickly!
You can get more out of each day. Your personal productivity can be supercharged so that you can get more done in less time AND have even more time for quality recreation, vacation and entertainment.
Do you ever feel like your foot is only half way pushed on the gas pedal of life? Do you feel that between checking news, email, social media, texts and going to and from work or college your life is just going through the motions but not really going anywhere? You are not alone.
Please note: This is by far the longest and most through course on personal productivity on this platform. It contains more hours, more lectures (500 +!) and more tips than any other course. This is a built-in personal productivity advantage for you because it means you will not have to purchase multiple courses and books on this subject. Everything you need is right here.
This personal productivity course will teach you how to take control of your life by taking complete command of your personal productivity.
Sloppy and haphazard daily habits can destroy anybody's personal productivity, including yours.
Smart and focused daily habits can make anyone dramatically boost their own personal productivity, including yours.
Instructor TJ Walker is one of the most prolific and productive authors, online course creators and trainers in the world. In this course you will learn his secrets for personal productivity plus a simplified distillation of all the personal productivity best practices.
This course is full of practical, nuts and bolts tips and tricks AND with Theory and perspective.
Please watch the preview videos available in this course to see why it has become one of the top sellers on personal productivity on Udemy.
You don't have to be stuck on a personal productivity treadmill in life that always revolves at the same speed. Don't waste another day or even another minute of your day or personal productivity. Sign up right now for this course!
Who this course is for?
Individuals wishing to become more productive in all aspects of life
Anyone who wants to accomplish more out of life
Those who want to learn better self-management to get more out of time on a daily basis
Homepage
Code: https://www.udemy.com/course/the-complete-personal-productivity-course-business-life/
Code: https://nitroflare.com/view/E5AA572E2889029/The_Complete_Personal_Productivity_Course_Business_Life.part01.rar
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Spring Boot Microservices and Spring Cloud
Created by Sergey Kargopolov | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 15:54 H/M | Lec: 201 | 7.15 GB | Language: English | Sub: English [Auto-generated]
Learn to build RESTful Microservices with Spring Boot and Spring Cloud
What you'll learn
Build and run RESTful Microservices
Implement User Authentication
Eureka Discovery Service
Implement User Authorization with Spring Security and JWT
Zuul API Gateway and a Load Balancer
Learn to use JPA to persist data into a Database
Cloud Cloud Config Server
Learn to install MySQL Server and persist data into MySQL
Spring Cloud Bus and Rabbit MQ
H2 in-memory database and H2 Console
Spring Boot Actuator
Learn to use HTTP Postman
Use Spring Security
Learn to use Spring Initializer
Distributed Tracing with Sleuth and Zipkin
Learn to use Spring Tool Suite
Centralized Logging with ELK Stack(Logstash, Elasticsearch, Kibana)
Run Microservices in Docker Containers
Requirements
Know Java
Mac computer
Description
This video course is for Beginners who have never build RESTful Web Services and Microservices before. It will guide you step-by-step through basics and will help you create and run RESTful Microservices from scratch. You will learn how to run Microservices on your own developer's machine as well as in Docker Containers on AWS EC2 Linux machines.
By the end of this course you will have your own RESTful Spring Boot Microservices built and running in Spring Cloud.
You will learn how to create and run your own:
RESTful Microservices,
Eureka Discovery Service,
Zuul API Gateway,
Load Balancer,
Spring Cloud Config Server,
You will learn to use:
Spring Cloud Bus and Rabbit MQ,
Spring Boot Actuator
You will also learn how to implement for your REST API features like:
User Authentication(Login) and,
User Authorization(Registration)
You will learn to use:
Spring Security and JWT
You will learn how to use:
Spring Data JPA to store user details in a database,
H2 in-memory database and a database console,
MySQL database server,
Postman HTTP Client,
Spring Tool Suite,
Spring Initializer
This course also covers how to:
Trace HTTP Requests with Spring Cloud Sleuth and Zipkin(Distributed tracing)
Aggregate log files in one place(Centralized logging) with ELK stack(Logstash, Elasticsearch, Kibana).
You will also learn how to:
Start up AWS EC2 Linux machine,
Install Docker,
Create Docker images,
Run Microservices in Docker containers on multiple EC2 Linux machines in Amazon AWS Cloud.
Who this course is for?
Beginner Java developers
Java developers interested in learning how to build Spring Boot Microservices
Homepage
Code: https://www.udemy.com/course/spring-boot-microservices-and-spring-cloud/
Code: https://nitroflare.com/view/A647105613255F9/Spring_Boot_Microservices_and_Spring_Cloud.part1.rar
https://nitroflare.com/view/43F0D3A1FE17594/Spring_Boot_Microservices_and_Spring_Cloud.part2.rar
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JavaScript and Ruby on Rails with React, Angular, and Vue
h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, 2 channels, s16 | 23h 30 mn | 9.7 GB
Instructor: Mashrur Hossain, Evgeny Rahman
Make dynamic web apps with Rails and JavaScript, React, Angular, Vue, Yarn, Webpack and Semantic UI as front-end
What you'll learn
Build applications with dynamic front ends and solid back ends
Use React JS as front-end to their Ruby on Rails web application and REST APIs
Use AngularJS as front-end to their Ruby on Rails web application and REST APIs
Use Vue JS as front-end to their Ruby on Rails web application or as a standalone application
Learn how to incorporate other front-end technologies with Ruby on Rails back-end
Use Semantic UI for application layout and styling
Learn Object Oriented Programming with Ruby
Learn Ruby on Rails framework for web app development
Learn Javascript
Learn Node JS
Learn How to use MongoDb with Node JS
Use the MERN stack
Requirements
No prior experience with any of the technologies in the course necessary
Modern browser and internet connection
Some familiarity with the web and front-end will help but not required
Description
Build web apps with JavaScript, the wildly popular React JS, AngularJS, Vue JS frameworks, and Ruby on Rails 5. These are the top on-demand and highest paying web technologies in the world today. This course will teach you each of these technologies and how to apply them as you build amazing web apps. No prior experience in any of them necessary to take this course!
Among many other features, you will learn how to master even the most complex parts of JavaScript, and make Ruby on Rails web apps that work with React, AngularJS, and Vue.js as their front-ends, utilizing Yarn & Webpack, and styled with the Semantic UI, Bootstap, and Materialize frameworks.
You will also learn the following:
How to build APIs for front end single page applications
Learn the basics of JavaScript programming and progress to advanced topics
Get an in-depth introduction to Ruby and building web applications with Ruby on Rails
How to take existing features and make them more engaging for your users
Starting with a standalone single page application and integrating it into a full stack web application
Communicating between the front end and back end using REST APIs
Different approaches to managing front end libraries in your application
Get real insights into application development from experienced industry professionals
Deploy your apps and back up your code to the cloud
If you find yourself in any of the categories below, this course was built for you:
Anyone looking for an introduction to JavaScript, React, Angular, Vue, Ruby and Ruby on Rails
Anyone who wants to learn JavaScript for building web applications and dynamic web sites
Front end developers looking to expand their back end knowledge
Back end developers looking to learn front end skills
Anyone who wants to be a well-rounded web app developer and know how to build solutions containing front end and back end apps
Anyone who wants to learn the most popular front-end frameworks - Vue JS, AngularJS and React
Anyone who wants to excite their customers with dynamic and engaging functionality
Anyone who wants to bring their own ideas to life on the web
Anyone who wants to take their marketability to the next level by adding JavaScript, Ruby, Rails, React, Vue JS and AngularJS to their skillset
With engaging video, challenging quizzes, detailed text explanations with directions and all the code shown in the videos, coding exercises and additional resources - this course will give you the skills you have been waiting for.
Who this course is for:
Anyone looking to build dynamic web applications with engaging user experiences
Anyone looking to incorporate React, AngularJS or Vue js as front end to their Rails or Node JS applications
Anyone looking to learn the fastest growing web technologies out there
Anyone looking to take their Ruby on Rails marketability to the next level
Master full-stack web development
Learn Ruby on Rails and build web applications with it
Students looking to learn how to integrate JavaScript apps with REST APIs
Homepage
Code: http://anonymz.com/?https://www.udemy.com/course/ruby-on-rails-react-angular/
Code: https://nitroflare.com/view/3748AEC6416881F/ruby-on-rails-react-angular.part01.rar
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Kenrick Cleveland - The Dark Side of Covert Hypnosis
MP4+ MP3+ PDF | Video: 640x480 | Audio: AAC, 48Khz , 2ch | Duration: 63 hours | Language: English | 7.5 GB
Discover How To Replace Someone's Reasoning With Your Own.Without Any Argument, Persuasion Or Compromise
Instantly put someone's conscious mind to bed.reprogram their views of right and wrong.turn them into your very own puppet on strings.using the most powerful method for speaking to the unconscious mind.
Announcing.
The Dark Side of Covert Hypnosis
"Is hypnosis dangerous? It can be. Under certain circumstances, it is dangerous in the extreme. It has even been known to lead to murder. Given the right combination of hypnotist and subject, hypnosis can be a lethal weapon." George Estabrooks
Pushing Straight Through The Boundaries Of Everything You Thought Was Possible.
The Dark Side of Covert Hypnosis includes a full blown advanced hypnosis course. You will receive over 8 hours of video from a previous class I taught on advanced hypnosis. To make sure that you have the latest up to date information at your fingertips, I will be annotating each video.and you will have access to over 10 hours of Coaching calls recordings that will guarantee you will become an expert hypnotist by the end of this section.
And this 8+ hours of video and complete hypnosis training course are just the beginning.an added bonus. that I would normally sell separately for $695.
All Ways Delivers A Hi Level Of Value.
Kenrick always in all ways delivers a hi level of value If you want to learn what takes to be a magican of persuasion, say BY to your old way of doing things and END the insanity. Start TODAY your new begining. You'll find by the end of the today studying with Kenrick how much of a impact he make with you like me!
Desmond, New Zealand
The real course will teach you how to take full control of someone else's mind.overtly and covertly.turning them into your hypno-slave.
The program will be an advanced, hands-on coaching course spanning several months. The first 8 weeks will cover Module 1, Advanced Hypnosis training, in which you will receive a new section once a week. This will give you plenty of time to practice and integrate the material before continuing with the next section. Included with Module 1 is access to the four hours and thirty minutes of recorded calls from the precious group, learning session and feedback in the private community.
After you complete Module 1 (Advanced Hypnosis Training), you will receive a new module every other week. The course consists of 6 total modules, plus 1 bonus module and 2 Bonus expert audio interviews.
below are just a few of the amazing discoveries you will make.
Advanced Hypnosis (Module 1)
Although I am known for my teachings of "YES STRATEGIES" and my Dark Side programs.what most people don't realize.is I have an extensive background in hypnosis (and Ericksonian Hypnosis).
I am a certified master hypnotist and hypno-therapist. I trained at length with Carole Erickson (Milton Erickson's daughter) and Richard Bandler..and went on to assist in their trainings of others. I also trained with Dave Dobson and ran a hypnotherapy center along with.consulting for the highest grossing hypnotherapy centers in the world.
The videos you will be receiving when you sign-up for the Dark Side of Covert Hypnosis were.recorded as an additional segment offered to my students who participated in my past Master Practitioner NLP training program.
Inside these videos (over 8 hours) you will benefit from my 35+ years of experience.transforming you into a master hypnotist.
Even if you never intended to practice Hypnosis.this training will greatly improve your ability in receiving YES's. It will give you the opportunity to expand your language skills, sensory acuity, story telling capabilities.and so much more.
* If you are not familiar with terms like embedded commands, double binds, presuppositions, as well as, different types of language patterns, this course is too advanced for you. You will be better served to partake in one of our other courses (such as Persuasion Factor) before joining this advanced program.
** The videos in module 1 are taken from an advanced training I did in the 1980's.they are not professionally recorded.
Here are just a few of the things you will discover in the Advanced Hypnosis Training:
Dark Side of Covert Hypnosis (Modules 2-6 & Bonus Module)
You are about to embark on a ride so dark, so dangerous.you must first sign a waiver before joining this program (located on the checkout page) where.
You will discover the secrets behind taking control of someone else's unconscious mind and.turning them into your very own puppet through hypnosis.
This program is not only going to test the boundaries, but push them further than we have ever explored before.giving you the upper-hand in everything that you do.
Just as I exposed the nastiest and most evil patterns known to man in my past Dark Side courses.this program will continue in that tradition.keeping my students' best interest at heart.allowing you to protect yourself from evil-doers.
And when you sign-up today, you will be part of this incredible journey all the way down the rabbit hole.to its darkest and most dangerous places.that many wish would remain hidden.
Below is a brief outline of what we will experience together:
Just imagine how much power your words and actions will hold.after you finish this program. The possibilities are never ending when you apply the concepts found in the Dark Side of Covert Hypnosis.and speak directly to the unconscious mind.
Kenrick's That Good.
Amazing course! Almost to the point, if not over in terms of information overload.but then again, you shouldn't try to absorb everything in one sitting. You'll need to review many times.Kenrick's that good and packs so much into this course.
Karl, New Jersey
Your Bonus Bonanza
We're pilling it on, like an over-stuffed NEW YORK cornbeef sandwich, and serving it up with only 1 goal in-mind.
100% SUBSTANCE.NO FILLER!
Our juicy, prime, melt-in your mouth Bonuses will induce your prospects into salivating on your every word.
And because we wanted to ensure, by the time you completed the Dark Side of Covert Hypnosis.your words.will become more powerful then you ever imagined.
We are providing you.
3 additional language trainings
An advanced hypnosis program
Private forum access
Access to 10+ hours of recorded coaching calls (where the previous students of the program extracted one golden nugget after another from me). And if there is any question that I have answered, you can always ask in the private forum or during our 1-on-1 coaching call (if you are one of the first 20 people to act now and grab the 1-on-1 bonus).
(Totaling over $2006.97 value).
Here is what we put together just for you:
Your Words Will Become Powerful Magic.
Seducing the Unconscious With embedded Commands.
.The most comprehensive lesson I have ever taught on the power of embedded commands in conversations and writing.
This lesson is so in-depth that it spanned 3 advanced coaching calls (over 2 hours and 45 minutes long). Included with the audio is a workbook, as well as, a bonus report on embedded Directives in Sales & Marketing.
My past private coaching club members paid over $1000 per month for this material, but now I'm making it available to you for only $99.99 FREE.
After you finish listening to this material, you will have countless examples on how to use and construct embedded commands. But, even more important, you will know how to conjure them up at will. to seduce the unconscious mind.
Here are a few things you are going to discover:
How to prime the brain to put your prospect in the right frame of mind.allowing your messages to sink deeply into the unconscious.
What you must know when using embedded commands in speaking vs. writing.this is rarely talked about and will make all the difference in how effective your commands are.
The easy technique that will place any of your commands on steroids.
The 5 things you must know to make your commands stand out and how to combine them for maximum power.
How to use embedded commands to change someone's emotional state.just imagine how good you will feel once you can seed emotions straight into the unconscious.
The Persuasion Intensifier.
COVERTLY ENCOURAGE YOUR PROSPECT TO STOP THINKING AND. BECOME DEPENDENT ON YOUR WORDS TO GUIDE THEIR THOUGHTS
I am often asked, "Kenrick, what is the fastest way to increase my persuasion abilities?"
Which is usually followed by them wanting me to provide a "magic-bullet language pattern" that will persuade anyone and. if you have been following my material for any period of time, you know. there is no such thing.
The only way to become a Powerful Persuader is to master the fundamentals.
Verbal Pacing and Leading is one such building block you must master..
And.
It serves as the framework that you will use to embedded all other language patterns (and persuasive language), intensifying their effects. This is truly one of those skills that is so powerful, but severely under-utilized.
Now you can receive.
Master Verbal Pacing and Leading for just $49.99 FREE.
And You Will Learn:
What is Verbal Pacing and Leading and why mastering this one skill will make you more persuasive instantly.Allowing all your messages to be accepted by the unconscious and conscious mind.
The secret to properly using "Truisms".and avoiding the #1 mistake people make when using them as a pacing statement.
How to use the verbal pacing and leading format that will drop your prospects into an altered state.moving them from an external state to an internal one.Turning all your language into hypnotic language.
What is the "Unconscious Yes Set".and why if you are still using the old fashion "Yes Set" taught in sales training programs, you are setting yourself up for failure.
How the T.V. show COPS uses the "No Set" to get citizens to willingly hand over their rights. Once you learn this concept, please use it responsibly!
Hear countless examples of how to construct proper pacing and leading statements.
Receive a state of the art Learning Session, allowing you to learn and implement this material easily and effortlessly.for FREE! ($99 value).
And much, much more.
Code: https://nitroflare.com/view/CA90130E050917D/DarksideofCHyp.part1.rar
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Code: https://rapidgator.net/file/0e5cfdd2b8c4f440c725c021a9e0f19e/DarksideofCHyp.part1.rar.html
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CCNP Service Provider Technology Course: 642-883 SPROUTE
Video: .MKV, AVC, 1920x1080, 30 fps | Audio: English, AAC, 44.1 KHz, 2 Ch | Duration: 28h 35m | 6.33 GB
Instructor: Rob Riker
This course will cover configuring, verifying, and troubleshooting IPv4 and IPv6 advanced OSPF and IS-IS configuration, BGP configuration, using Cisco IOS-XR RPL to implement routing policies, and implementing high availability routing supporting a service provider network. This course covers the Cisco IOS, IOS-XE and IOS-XR operating systems. As the course progresses, a full routing implementation of a Service Provider core infrastructure will be laid out, detailed technology explanations coupled with white-boarding to illustrate and help the viewer visualize what is going on. Using Wireshark capability for packet capture.
Homepage
Code: http://anonymz.com/?https://my.ine.com/course/ine-ccnp-sp-642-883-sproute/eca36267-d800-40a7-9a97-4a377acc7b9d
Code: https://nitroflare.com/view/8794924DF534D11/CCNP_Service_Provider_Technology_Course_642_883_SPROUTE.part1.rar
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The Complete Personal Development Masterclass For Success
Created by Mayez El Merhbi | Last updated 1/2020
Duration: 24.5 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 13.5
Genre: eLearning | Language: English + Sub | 229 lectures
What you'll learn
You Will Learn How To Become The Leader You're Meant To Be. Throughout This Course, We Will Help You Build The Leader You Aspire To Become.
You Will Learn The Science Behind Your Brain's Learning System And How To Use It To Your Advantage
You Will How Memory Works, And How You Can Use The Memory's Basis Structure To Change Or Enhance Memories and Experiences
Learn Different Emotional Intelligence Systems And Formulas To Help You Manage Anxiety, Depression, Stress, And Different Mental Health Obstacles That You Might Face On A Daily Basis
You Will Learn The Ins And Outs Of Mind Mapping With More Than 15+ Training Examples
You Will Also Explore 30+ Formulas For Speed Reading That Can Revolutionize The Way You Read And Retain Information
You Will Learn About Cognitive Limitations, Our True Human Brain Capacity, And Some Ways To Improve It.
- You Will Learn The Science Behind Productivity And Time Management, The Limitations, And The Tools You Need To Ensure Effective Productivity And Time Management.
Requirements
Understand Basic English
Description
In a digital world, where every second count, improving your memory, and your learning ability can give you a huge advantage over everybody else around you by making you more productive. You have the chance to master productivity, to be the " productive " version of yourself, the version you always wanted to be.
In this course, we will go through the Scientific Background of learning strategies and how it learning works, memory and how you can control it and use it to your advantage, speed reading and how to read way more in less time while ensuring proper comprehension of the content. You will learn the fundamental scientific basis behind productivity and time management.
We even went beyond that to explain different concepts related to your daily life that, by controlling, you can even take it up a notch and control some of the detrimental habits that you have
You will not just learn how to be more productive, you will rewire your brain into being more productive, more effective, become a proficient speed reader and perfect your reading, improve and enhance your memory on a daily and natural level, and learn like you never did before.
We are going to dive into all the following topics in-depth:
1) Understand, learn and apply the secret formulas for speed reading and effective learning
2) Learn how to improve and enhance your memory to take yourself to a whole new level
3) Explore all the formulas for productivity and time management that can turn you into the most productive and effective version of yourself
4) Dive deep into the concepts and applications of Emotional Intelligence and develop stability, resilience, and self-esteem
5) Learn the secrets behind effective brainstorming and mind mapping to unlock your unlimited creativity
In a nutshell, get ready to transform yourself and transform your life through personal development and transformation.
Who this course is for:
People who want to transform themselves through the principles of personal development and transformation
Code: https://nitroflare.com/view/78C291CEB3162A5/TheCompletePersonalDevelopmentMaster.part01.rar
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Social Media Marketing 2020: A Step by Step Guide to Success
Created by Kevin David | CEO @ THATLifestyleNinja | Last updated 11/2019
Duration: 7 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 5.6 GB
Genre: eLearning | Language: English + Sub | 22 lectures
What you'll learn
Learn How to 10x Your Investment For This Course By Using A Step By Step Method!
Learn How To Setup Highly Profitable Cold and Retargeting Ads!
Learn About Perfect Contract and How It Can Be Used To Close the Deal With The Client!
Learn How To Explode Your Marketer Agency And Scale It To The Next Level!
Requirements
Must Have A Facebook Account
Description
My Name Is Kevin David
In a short period of time, I have built a following of hundreds of thousands inspired entrepreneurs!\n\nI quickly became a 7+ figure eCommerce seller utilizing the power of Amazon FBA, Shopify, and Facebook Ads!\n\nAfter mastering the process, I began pursuing my PASSION.teaching thousands of like-minded individuals how to leave their 9-5 jobs behind and freeing them from corporate slavery!\n\nMy training continues to create success stories all over the world for thousands of my students!\n\nBut more importantly YOU found the perfect LOW COST blueprint to creating a full-time income from home!
Who this course is for:
Entrepreneurs
Small Business Owners
People who want to earn a passive income
Anyone who wants to get out of the 9-5 job
Code: https://nitroflare.com/view/7B006E581CE5C80/SocialMediaMarketing2020AStepbySt.part1.rar
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Code: https://rapidgator.net/file/fe096d4364418b0138eddb7e5d4e67c0/SocialMediaMarketing2020AStepbySt.part1.rar.html
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Lambda with Functional Programming in Java8
Video: .mp4 (1280x720, 30 fps®) | Audio: aac, 44100 Hz, 2ch | Size: 5.56 GB
Genre: eLearning Video | Duration: 72 lectures (10h 34m) | Language: English
Lambda expression with Functional Programming Example
What you'll learn
Functional Programming With Lambda Expression
Requirements
You should have basic knowledge about core java and generics[Collection]
Description
This Course basically designed for the people who has knowledge in prior knowledge about java.
We will Cover the Followings in this course ,
Lambdas
Streams
Parallel Streams
Optional
New Interface Concepts
Here the Sub Topics we are going to cover in this tutorial ,
01 About the Course
02 Why Java8
03 Java7 vs Java8 Example Part 1
04 Java7 vs Java8 Example Part 2
05 What is lambda
06 Implement Runnable Using Lambda Expression
07 Implement Comparator Using Lambda Expression
08 How to install Java Decompiler in Eclipse
09 Introduction to Functional Interfaces
10 Consumer Interface Part-1
11 Consumer Interface Part-2
12 Consumer Interface Part-3
13 BiConsumer Interface Part 1
14 BiConsumer Interface Part 2
15 Predicate Interface Part 1
16 Predicate Interface Part 2
17 Predicate Interface Part 3
18 Predicate Interface Part 4
19 Function Interface Part 1
20 Function Interface Part 2
21 Function Interface Part 3
22 Unary and Binary Functional Interface
23 Supplier Functional Interface
24 Method Reference
25 Method Reference and Constructor Reference
26 Lambda Local Variable
27 Streams Introduction
27 Streams Introduction 1
28 Streams Example Part 1
29 Streams Example Part 2
30 Streams Example Part 3
31 Streams Map Example Part 1
32 Streams Map Example Part 2
33 Streams FlatMap Example Part 1
34 Streams FlatMap Example Part 2
35 Streams FlatMap Example Part 3
36 Streams FlatMap Example Part 4
37 Streams Filter Example
38 Streams Reduce Example Part 1
39 Streams Reduce Example Part 2
40 Streams Filter Map Reduce Example
41 Streams MinBy, MaxBy Example
42 Streams Limit Skip Example
43 Streams AllMatch, AnyMatchExample
44 Streams FindAny , FindFirst Example
45 Streams Factory Method Example
46 Numeric Stream Example
47 Numeric Stream Factory Method Example
48 Numeric Stream Factory Aggregation Method Example
49 Stream Boxing and UnBoxing Example
50 Numeric Stream Map Example
51 Stream Joining Example
52 Stream Mapping and Counting Example
53 Stream Summing and Averaging Example
54 Stream Grouping By Example Part 1
55 Stream Grouping By Example Part 2
56 Stream Partitioning By Example
57 Sequential vs Parallel Stream Example Part 1
58 Sequential vs Parallel Stream Example Part 2
59 Sequential vs Parallel Stream Use Case
60 Parallel Stream When Not to Use Case Part 1
60 Parallel Stream When Not to Use Case Part 2
61 Optional Class Introduction
62 Optional Class Example Part 1
63 Optional Methods Example Part 1
64 Optional If Present Method Example
65 Optional Methods Example Part 2
66 Optional FlatMap Filter Example
67 Interface Default and Static Method Introduction
68 Default Method Sort Example
69 Default Method Custom Sort Example
70 Interface Method and Static Method Example
Who this course is for:
For experienced java developers
Code: https://nitroflare.com/view/6567E2EA7BD2727/Lambda_with_Functional_Programming_in_Java8.part1.rar
https://nitroflare.com/view/728FEBB4B2EB2A9/Lambda_with_Functional_Programming_in_Java8.part2.rar
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https://nitroflare.com/view/F21B920640D7179/Lambda_with_Functional_Programming_in_Java8.part6.rar
Code: https://rapidgator.net/file/96291abbfd874a7ddfeacfd37c1d1c97/Lambda_with_Functional_Programming_in_Java8.part1.rar.html
https://rapidgator.net/file/50775fc726712cd0a12e025d2fcbb451/Lambda_with_Functional_Programming_in_Java8.part2.rar.html
https://rapidgator.net/file/1b891fc0d0535b5feba56e85b2e51be7/Lambda_with_Functional_Programming_in_Java8.part3.rar.html
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https://rapidgator.net/file/7465553b5b8a713c455465a93bf8aacc/Lambda_with_Functional_Programming_in_Java8.part6.rar.html
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Complete And Ultimate C Programming Course
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 15.2 GB | Duration: 35 hours
What you'll learn
Complete C programming.
From ZERO knowledge to PROFESSIONAL knowledge in C programming.
From BEGINNER to ADVANCE concepts in C.
You will be mastering C programming.
1 course project and 10 brainstorming programs.
201+ Example programs for you to understand and master each concepts.
10 Assignments to leverage the concepts
10 Quizzes for self-assessment
You will be developing a SOFTWARE PRODUCT - BOOK STORE MANAGEMENT
A firm foundation to your programming skills.
Writing quality and standard code.
Develop applications with C programming.
Leveraging your logical skills.
Many more...
Requirements
NO REQUIREMENTS!
Only you need is - this course and your Laptop/PC.
Description
Hi There!
Want to become a SOFTWARE DEVELOPER? Don't worry, I have made it easy for you. Learning C programming is now made easy for EVERYONE, whether you are a beginner or intermediate. This course contains ALL CONCEPTS of C, right from scratch to advance level and from ZERO to HERO.
You will be a software developer at the end of this course, believe me! Because we will be developing a product(.exe file) called BOOK STORE MANAGEMENT in our course project, it's amazing. BONUS 1 - you will learn the SOFTWARE DEVELOPMENT PHASES that every IT company follows, right from "requirement collection" to "releasing the product". BONUS 2 - you will be learning "preprocessor". BONUS 3 - diving into the standard C libraries and getting familiar with it. Just check the titles of every assignment, you will get to know the level of programs that we'll be leveraging.
In this course, you will be guided with 10 assignments of real-time problems and a quiz for each section to self-assess yourself. with over 200+ example programs you will be mastering each and every concept in C. Every concept is neatly explained with step by step process. NO matter who you are, you will be an excellent programmer at the end of this course, believe me! you will be diving deep into every concept with the best examples. This course will not be stagnant, it will always get updated!
At the end of this course, you will be having a great foundation for your career path and strong knowledge with awesome skills to unlock other programming languages. You will be having a good skill set to achieve your every dream of a career as a developer. Lastly, you will be standing out as THE BEST PROGRAMMER and may get into your dream company.
SO, what you are waiting for? Buy this course and achieve your dreams. See you on the course. Thank you.
Who this course is for:
Freshman to C programming.
Anyone who need to start their career as a programmer.
Homepage
Code: https://anonymz.com/?https://www.udemy.com/course/complete-and-ultimate-c-programming-course/
Code: https://nitroflare.com/view/25BD0666AA0DED2/Complete_And_Ultimate_C_Programming_Course.part01.rar
https://nitroflare.com/view/9203AC957B8AA79/Complete_And_Ultimate_C_Programming_Course.part02.rar
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https://nitroflare.com/view/8DF3308C2E39804/Complete_And_Ultimate_C_Programming_Course.part16.rar
Code: https://rapidgator.net/file/4501f41ce145c6c5aeb5558d77c743eb/Complete_And_Ultimate_C_Programming_Course.part01.rar.html
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https://rapidgator.net/file/b190c2d8492ef6f834244d50b7ae0a05/Complete_And_Ultimate_C_Programming_Course.part16.rar.html
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Angular 6 (Angular 2+) & React 16 - The Complete App Guide
Created by Filip Jerga | Video: h264, 1280x720 | Audio: AAC 48KHz 2ch | Duration: 63:01 H/M | Lec: 479 | 38.5 GB | Language: English
Master Angular (Angular 5, Angular 6,incl. Angular 7), React + Redux (React 16) & Node. Stripe, AWS, Express included.
What you'll learn
Develop powerful, modern, real-world web applications with React, Angular and Node
Completely understand the processes and architecture of Angular, React and Node
Use gained knowledge to create your own web applications in most demanded frameworks on the market
Establish yourself in field of the exciting Angular, React and Node web development environment
Become fluent in concepts and tools like Redux, MongoDb, Amazon S3, JWT tokens, Postman, ES6 and more
Requirements
No Angular, React and Node previous knowledge is required!
Fundamentals in HTML and CSS, but isn't must have
Basic Javascript knowledge is required
Description
Up-to-date course that listens to it's students. More on-demand features are integrated to this course regularly. Payment feature with Stripe, Image upload with AWS from Amazon and Interactive update of properties with Angular and React was added to course recently.
If you are planning to start your career as a developer or you just want to improve your programming skills, then this course is right for you.Get all you need to start web development in one course! and many related technologies of Web Development to more advanced topics until our application will be deployed to Heroku and accessible online on the internet.
This resource is the only thing you need in order to start Web Development with Angular, React and Node and during this course you will get confidence and skills required to start your own projects, you will get the right mindset to apply for a developer career and to improve in modern frameworks like Angular, React and Node,
We will start very easily in Angular and React, in which we will create a layout of our application. I will explain to you how to create basic components, services and reusable code. I will also talk about routing in SPA (single page application).
Furthermore, we will work on a detail page of a rental property in which we will work with 3rd party Google Map API and we will display the location of a rental property on a map.
Later in this course, we will take a look on authentication with JWT (json web tokens) on the client/server side.
Next, we will work on a core application functionality to book rental property for certain numbers of nights. We will integrate interesting features to our application, calendar for choosing dates of stay, modal window to confirm bookings and toast messages in order to enhance interactivity of the application and we will go more into advanced concepts of Angular, React and Node.
After the booking section we will take a look on search and create rental functionality. We will search for rentals by city. We will learn how to integrate new features to the working code.
Our last section will be a manage section where we will work on functionality to display user bookings and rentals, availability to list and remove them.
After manage section we will prepare our applications to be ready for deploy to Heroku. We will do additional production setup of Angular, React and Node applications. After all of the necessary changes we will finally deploy our applications to Heroku and we will make them available online on the internet.
Development process is not finished with a deploy section. This course offers for you constant update of new features. Next we will work on very interesting feature for update rental properties. On Rental Update feature you will learn how to create powerful reusable components in your application and how to create good looking update components.
After update section we will work on interesting feature for an image upload. We will learn how to upload images to Amazon S3. Before uploading our image to Amazon S3 we will also take care of cropping and processing our image.
During this course we will be switching from our frontend application to our backend Node.js application. This Node application will be responsible for handling and storing our business data in MongoDB.
------------- Brief Curriculum - Listed Important Features You Will Learn -------------
[JS, ES6] - Intro To ES6 (Classes, Variables, Callbacks, Arrow Functions, Inheritance, Async, Promises, Observables)
[Angular] - Intro To Angular (Components, Services, Modules, Routing, Bootstrap, Life Cycle Functions, Passing Data, Links, Types, Observables)
[Node] - Intro to Node (Express Framework, Server Creation, Postman, MongoDB, Routing, Handle Errors)
[Angular] - Rental Map (Proxy, Cors, Pipe, Font Awesome, Map Component, 3rd Party Service, Geolocation, Google Maps API, Caching)
[Node] - Authentication (JWT, Encryption, Middleware)
[Angular] - Authentication (Reactive Forms, Template Forms, Validation, JWT, Guards, Interceptor)
[Node] - Bookings (Book a rental property, Server Validation)
[Angular] - Bookings (Date Range Picker, Book a rental property, Modals, Toast Messages)
[Angular + Node] - Search, Create Rental
[Angular + Node] - Manage Section
[Angular] - Deployment (Heroku, Production Server Setup)
[React] - Intro To React (Components, JSX, Redux, State, Props, Bootstrap, Life Cycle Functions, Link To, Render)
[Node] - Intro to Node (Same as Section 3.)
[React] - Rental Map (Proxy, Cors, HOC, Composition, Font Awesome, Map Component, 3rd Party Service, Google Maps API, Caching, Geolocation)
[Node] - Authentication (Same as section 5.)
[React] - Authentication (Redux Forms, Validation, JWT, Protected Guards, Axios Interceptor)
[Node] - Bookings (Same as section 7.)
[React] - Bookings (Date Range Picker, Book a rental property, Modals, Toast Messages)
[React + Node] - Search, Create Rental
[React + Node] - Manage Section
[React] - Deployment (Heroku, Production Server Setup)
[Angular - Bonus] - Update Feature (Editable Components, Reusability, Inheritance, Subject )
[Angular - Bonus] - Crop and Upload Image Feature (Amazon S3, Learn how to send an image in request )
[Angular - Bonus] - Payment (Stripe )
[Angular - Bonus] - Migrate to Angular 6
Who this course is for?
Starting as well as experienced developers interested in modern frameworks as Angular, React and Node.
This course is for everyone eager to understand how a javascript frameworks work.
Taking this course will enable you explain before difficult concepts to your fellow collagues in simple way.
Homepage
Code: https://www.udemy.com/course/practical-angular-react-node-airbnb-style-application/
Code: https://nitroflare.com/view/C702BEC5527098E/Angular_6_Angular_2_React_16__The_Complete_App_Guide.part01.rar
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Selenium WebDriver With - Java |TestNg |Maven |GIT | Jenkins (2020)
NEW | Created by Pankaj Gupta | Last updated 1/2020
Duration: 26 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 11.2 GB
Genre: eLearning | Language: English + Sub | 235 lectures
What you'll learn
By the end of this course you will be able to automate any Web Application with framework, *This is completely design for Beginner*.
You will be able to answer What, Why and when to use with explanation.
You will gain confidence with "Real time scenario" so that you can answer to anybody with confidence- This is Main focus.
You will get to know the coding standards in writing the most optimised Web Automation Scripts
You will be able to develop Web Automation framework from scratch
You will understand Automation framework components like TesNG, Maven, Jenkins, Page Object model design pattern etc
You will get complete Practical knowledge on Selenium WebDriver where you will be in the position to automate any Web application.
You will be able to create GREAT LOOKING REPORTS using the best advanced REPORTING TOOL.
"Last but not least" you can clear any Interview and can Lead Entire Web Automation Project from Design Stage to implementation stage.
You will be Ready for your new Career Growth / Job Switch
Requirements
* ******You need NOT have any Prior java coding experience to start this course********* Even non Programming candidates can follow this course comfortably******Have covered Basic of Java
Description
--Course Updated with latest examples time to time***\nWebDriver is a web automation framework that allows you to execute your tests against different browsers, not just Firefox, Chrome (unlike Selenium IDE). WebDriver also enables you to use a programming language in creating your test scripts (not possible in Selenium IDE).\n
What made this course Unique from other courses? \nOnly course on Internet which covers Real time project explanation and all your Quetion like what and why ??\nIt's basically designed in such a way -so that one can answer when we should go for what approach and how?.
-- WHAT MAKES THIS COURSE BEST? *******************
We assume that students have no experience in automation/coding and start every topic from basics level.
Examples are taken from REAL TIME Web Application to understand how different components can be automated, that will give you idea of industry level framework and give you confidence.
NO PRIOR CODING OR AUTOMATION EXPERIENCE NEEDED, this course covers all the necessary topics.
Get more than 27+ hours of unique content with real example Contents are provided to refer and learn with examples.
***************************************************************************
Every Sections has INTERVIEW QUESTIONS to practice/master the learning process.
It will be very helpful for your NEXT JOB/Interview. :)
****************************************************************************
On course completion You will be Mastered in Web/UI Automation and can implement Successfully it in your work place or will surely land on High Paying Job.
We start from Beginners level and slightly go through Advanced FRAMEWORK level.
This is a single course for everything you need to know related to Web Automation and Framework.
We have Covered below Topics: (Refer- Course content Section)
****************************
Basic of JAVA :
Basic of Java
OOPS Concepts
Collection Framework in Java Basic
Basic of Automation :
Basic of Automation What ? When ? How ?
Basic Introduction of Selenium and Its Components
JDK installation
Eclips Installation
Setting the Selenium Jars and Browsers path
Architecture of WebDriver
How Selenium works
Basic program to launch diff browsers
Basic of WebElements and HTML
Firepath or in chrome how to inspect
Introduction of Locatores and Why, when, How?
By class, findelement and findelements
xpath
CSS
Introduction to Wait and Why,when,How?
implicitly
explicitly
DropDowns
Checkbox
Radio Button
Executing a file
different ways of clicking on a button?
IMPORTANT METHODS OF WEBELEMENT INTERFACE
HANDLING MULTIPLE ELEMENTS
HANDLING AUTOSUGGESTION
Actions class
File upload popup -Window based popup-AutoIT
File upload popup -Window based popup-Robot Class
Alert and Popup
Multiple window Handler
taking Screenshot
POM-Framework Design Pattern
Page Factory model
POM-Framework Design Pattern
Page object model
Read Data from Properties file
Read Data from excel file-Apache POI basic
Write data into excel
Basic of TestNg-Framework, Why, when, How? Setup?
displaying TestNg Report-index and HTML
TestNg.xml basic
Basic Annotations and use
Reporter and SOP statements-for Logging into Reports
Priority Running
InvocationCount
DependsonMethod
Grouping of Test Cases
Running Failed Test Cases
Running Parallel Test Cases
Running Cross Bowser Test Cases
Soft and Hard Assert
Basic of Maven
DownLoading and Setup of Maven
Understanding POM and Execution by Maven
Basic Git
Creating account
configure eclipse-with git
Differents operation
Continuous Integration tools
Basic of Jenkins
DownLoad and Setup
Running Jenkins
****Bonus*****
Some exciting stuff
*************************************************************************************
This is life time supported course - Any time you can access these course via Mobile App or Web App
*************************************************************************************
At the end of this course you can pick any Web Application over internet and can automate it comfortably with all necessary validations.
***Keep Learning- Keep Growing*** and Wish you all the Best !!
Who this course is for:
* Manual testers, Non-programming aware testers interested in learning Automation
* Any Experience who want to change Domain OR update their skills.
* Any Software engineer who are interested in Mobile Technologies
* Freshers/Graduates/ Software Testers
* Any Developer who have to implement something using automation
Code: https://nitroflare.com/view/F5971F721B9CEE1/SeleniumWebDriverWith-JaTestNgMa.part01.rar
https://nitroflare.com/view/594B4D8E331DC09/SeleniumWebDriverWith-JaTestNgMa.part02.rar
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https://nitroflare.com/view/A2D9281A95CFBEA/SeleniumWebDriverWith-JaTestNgMa.part12.rar
Code: https://rapidgator.net/file/abc980983ad2fcf163102e77111a93e1/SeleniumWebDriverWith-JaTestNgMa.part01.rar.html
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https://rapidgator.net/file/3b91c438a4a97363ed476706eb202c67/SeleniumWebDriverWith-JaTestNgMa.part12.rar.html
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AWS Certified Solutions Architect - Associate 2020
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 6.17 GB | Duration: 12 hours
What you'll learn
Obtain in-depth knowledge of AWS architectures and pass the exam
Become an expert with AWS tools and services
Design and deploy resilient and reliable AWS solutions within the enterprise organization
Level up your career and get AWS certified
Deploy several Python, Java and PHP applications within AWS ecosystem
DevOps pipelines and continuous integration and continuous delivery models
Design cost effective and scalable solutions
Work with AWS best practices and well architected framework including 5 pillars
Requirements
Knowledge of AWS basic tools and services
AWS Cloud Practitioner certification is a plus but not required
You will need to set up an AWS Account (you can use the free tier for this course)
Description
Welcome! - Want to pass the *NEW* SAA-C02 AWS Solutions Architect Associate Exam? Look no further. I'm here to help you prepare and PASS the newest AWS Certified Solutions Architect Associate exam
Note: Our course material, like the AWS certification exams, are continually evolving. We have released a new version 2020 course, with a stronger and deeper focus on architectures in general, high availability, and the services you do need to know in greater depth.
If you are a beginners Great! Welcome: You do not need to know anything about AWS! Everything is provided in this course.
According to salaries reported by LinkedIn members who work at Amazon Web Services (AWS) in United States:
"The average salary for the role of Solutions Architect at Amazon Web Services (AWS) in United States is $142,000. This salary is based on 122 salaries submitted by LinkedIn members with the title "Solutions Architect" at Amazon Web Services (AWS) in United States"
AWS Certified Solutions Architect certification course is geared for people who want to enhance their skills in AWS to help organisations design and migrate their architecture to the cloud. This is the next step after obtaining your Cloud Practitioners Certification. This course will develop your skills your learned from the Cloud Practitioners Course in further detail. We cover a broad range of topics with a specific concentration on High Availability, EC2, VPC, Storage and Overall Management of the AWS Console.
Getting this certification will enable an IT professional to significantly boost their employability portfolio. AWS is the leading cloud services organisation in the world and they have massive expansion planned for 2019. Organisations are actively looking for professionals who have knowledge of the AWS platform in order to advise them on moving towards the cloud.
See what our students say "It is such a comprehensive course that I don't need to take any other course but this one to learn all important concepts and hand-on application with this AWS Certified Solutions Architect - Associate course, and I would without a doubt recommend it to everyone." - Mariana Jones
"This is such an awesome course. Clear instruction, and I loved every bit of it - Wonderful learning experience!" Carlos Nvara.
Join thousands of other students and share valuable experience!
---------------------------------
This course also comes with:
✔ Lifetime access to all future updates
✔ A responsive instructor in the Q&A Section
✔ Udemy Certificate of Completion Ready for Download
✔ A 30 Day "No Questions Asked" Money Back Guarantee!
✔ FREE AWS Certified Solutions Architect - Associate Exam
✔ FREE E-Book on AWS Cost Optimization
Why take this course?
As AWS, Microsoft, and Cisco Certified, a senior Enterprise Architect & Project Manager managing and deploying enterprise level IT projects, my experience with AWS has been phenomenally great! I am excited to share my knowledge and transfer skills to my students.
Enroll now in AWS Certified Solutions Architect - Associate course today and revolutionize your learning. Stay at the cutting edge of certification and AWS architectures- and enjoy bigger, brighter opportunities.
See you in class!
Syed
Team ClayDesk
Who this course is for:
Anyone who wants to pass AWS Solutions Architect Associate exam
Learn in-depth AWS architectures
Beginners who would like to get certified
Homepage
Code: https://anonymz.com/?https://www.udemy.com/course/aws-certified-solutions-architect-associate-new-course/
Code: https://nitroflare.com/view/BFE2DBD45218970/NEW_AWS_Certified_Solutions_Architect_-_Associate_2020.part1.rar
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https://rapidgator.net/file/cfbfa3757ae9ae36faf8224c206aa5bb/NEW_AWS_Certified_Solutions_Architect_-_Associate_2020.part7.rar.html
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La Web Empieza Aquí: TypeScript, Angular , Storage, Firebase
Video: .mp4 (1280x720, 30 fps®) | Audio: aac, 44100 Hz, 2ch | Size: 7.99 GB
Genre: eLearning Video | Duration: 158 lectures (19h 32m) | Language: Español
Uno de los cursos mas completos que encontraras, tanto si eres principiante o ya tienes cierto conocimiento en los temas.
What you'll learn
A programar en TypeScript
Entender fácilmente script TypeScript
Utilizar Angular y entender como funciona este Framework
Crear proyectos fácilmente utilizando Angular
Poder consumir cualquier API desde Angular
El ciclo de vida de Angular
A utilizar LocalStorage para poder crear cualquier tipo de pagina sin necesidad de internet
Crear Servicios para Trabajar con los datos
Usar el cliente HTTP, los observables y los Subscribe
Crear aplicaciones usando Firebase
Requirements
HTML, CSS
Bootstrap
Fundamentos de Programación
Una computadora
Description
Si te interesa el desarrollo web, quieres aprender a crear aplicaciones FrontEnd y estar preparado para el ámbito laboral este curso es para ti, veremos desde el lenguaje de TypeScript con toda su estructura hasta como crear un proyecto bastante grande utilizando localStorage, Firebase e incluso consumiendo una API todo esto en un solo curso.
Who this course is for:
Programadores que ganas de aprender este fabuloso framework
Personas que se están adentrando en el mundo de desarrollo y ya saben HTML
Profesionales
Estudiantes
Code: https://nitroflare.com/view/DF06155A323FD5A/La_Web_Empieza_Aqu_TypeScript_Angular_Storage_Firebase.part01.rar
https://nitroflare.com/view/B5E4EDF37418725/La_Web_Empieza_Aqu_TypeScript_Angular_Storage_Firebase.part02.rar
https://nitroflare.com/view/E11A76F16B3DE24/La_Web_Empieza_Aqu_TypeScript_Angular_Storage_Firebase.part03.rar
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https://nitroflare.com/view/050058024311148/La_Web_Empieza_Aqu_TypeScript_Angular_Storage_Firebase.part08.rar
Code: https://rapidgator.net/file/07eb4a432ce828a1f0ca85cb8fe4502b/La_Web_Empieza_Aqu_TypeScript_Angular_Storage_Firebase.part01.rar.html
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