Library

[Slon]

The Covid-19 Pandemic as a Challenge for Media and Communication Studies
by Katarzyna Kopecka-Piech (Editor), Bartlomiej Lódzki (Editor)
English | 238 pages | Routledge; 1st edition (31 January 2022) | 1032134410 | PDF | 18.37 Mb

This truly interdisciplinary volume brings together a diverse group of scholars to explore changes in the significance of media and communication in the era of pandemic. The book answers two interrelated questions: how media and communication reality changed during the first wave of the COVID-19 pandemic, and how media and communication were effectively studied during this time.

The book presents changes in media and communication in three areas: media production, media content, and media usage contexts. It then describes the theoretical and practical, methodological, technical, organizational, and ethical challenges in conducting research in circumstances of sudden change in research conditions, emergency situations and developing crises. Drawing on various theoretical studies and empirical research, the volume illustrates the principles and results of applying diverse research methods to the changing role of media in a pandemic and offers good practices and guidance to address the problems in implementing research projects in a time of sudden difficulties and challenges.

This diverse and interdisciplinary book will be of significance to scholars and researchers in media studies, communication studies, research methods, sociology, anthropology, and cultural studies.

Code:

https://k2s.cc/file/f9919407b0c17/1032134410.pdf

Code:

https://rapidgator.net/file/5246423fce19ed9e2e82b885110da3fb/1032134410.pdf.html

[Slon]

Socioeconomic Dynamics of the COVID-19 Crisis: Global, Regional, and Local Perspectives (Contributions to Economics)
by Nezameddin Faghih (Editor), Amir Forouharfar (Editor)
English | 541 pages | Springer; 1st ed. 2022 edition (January 14, 2022) | 3030899950 | PDF | 12.85 Mb

This book depicts and reveals the socioeconomic dynamics of the COVID-19 crisis, and its global, regional, and local perspectives. Explicitly interdisciplinary, this volume embraces a wide spectrum of topics across economics, business, public management, psychology, and public health. Written by global experts, each chapter offers a snapshot of an emerging aspect of the COVID-19 crisis for the benefit of academics and students, as well as the institutional, economic, social, and developmental policymakers and health practitioners on the ground.

Code:

https://k2s.cc/file/3e2267ae7d88a/3030899950.pdf

Code:

https://rapidgator.net/file/b941e46fe0c33d8287a32915908d6bee/3030899950.pdf.html

[Slon]

COVID-19 Pandemic, Public Policy, and Institutions in India
by Indranil De (Editor), Soumyadip Chattopadhyay (Editor), Hippu Salk Kristle Nathan (Editor), Kingshuk Sarkar (Editor)
English | 204 pages | Routledge; 1st edition (24 March 2022) | 1032129476 | PDF | 4.69 Mb

This book looks at the institutional and governance issues faced by India during the first and second wave of the COVID-19 pandemic and its adverse impact on the vulnerable sectors and groups.

The book is split into four parts, with preceding chapters informing later ones. Part One outlines the approach of the study, in particular their examination of policy responses and the effect of the pandemic. Part Two delves into the governance challenges in containing the pandemic while giving the theoretical rationale for institutional responses. Part Three looks at how the pandemic affected economically vulnerable households, workers, and small industries. The effect of pandemic on the informal sector is also detailed. Lastly, Part Four examines the impacts and responses of Indian public infrastructure and services to the pandemic, in particular the impact of the COVID-19 pandemic on health care and collegeing. It also explores the challenges caused by infrastructure inadequacies in Indian cities. The book closes by looking at how businesses in the private sector have responded to the COVID-19 pandemic, with a focus on Corporate Social Responsibility.

The book will be a useful reference to researchers, policymakers, and practitioners who are interested in institutions and development, especially in the context of India.

Code:

https://rapidgator.net/file/aa63b11994c021d4dd880642f9766c4e/(Routledge_Research_in_Public_Administration_and_Public_Policy)_Indranil_de_(editor),_Soumyadip_Chattopadhyay_(editor),_Hippu_Salk_Kristle_Nathan_(editor),_Kingshuk_Sarkar_(editor)_-_Covid-19_Pandemic.pdf.html

Code:

https://nitroflare.com/view/59DE29A786CAB31/(Routledge_Research_in_Public_Administration_and_Public_Policy)_Indranil_de_(editor)%2C_Soumyadip_Chattopadhyay_(editor)%2C_Hippu_Salk_Kristle_Nathan_(editor)%2C_Kingshuk_Sarkar_(editor)_-_Covid-19_Pandemic.pdf

[Slon]

Iatf 16949 Core Tools - Design Fmea
Last updated 5/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.38 GB | Duration: 2h 35m

Complete guide & EXCEL files for effective Design FMEA documentation and review.



What you'll learn
Clear understanding of various elements of DFMEA process.
Will be able to prepare and review DFMEA document effectively and coordinate with core team to improve effectiveness of design activities.
Will be able to review the DFMEA of suppliers effectively.
Will be able to analyze cause of field failures by revisiting the existing DFMEA and taking further actions.


Requirements
Person should have a degree / diploma in science / engineering / technology.
Person should have some involvement in operational function of the company such as production, quality assurance, engineering, design, testing, inspection, supplier assessment etc.
Person should be familiar with working in excel for making simple documentation, calculation, formatting etc.
An awareness of Quality Management System, such as ISO 9001, IATF 16949 would be added advantage.
Should cultivate team work in organization.
It is recommended (not essential) that the participants take the courses of IATF Core Tools - on Process flow-PFMEA-Control plan as those activities are followed after DFMEA.


Description
Designing a product is a very intricate activity. It is design which established the reliability of product. Result of design is defining the product characteristics in terms of measurable entities which would satisfy the stated and intended need of user and interested party.This course (Design FMEA) gives a systematic step by step understanding of Prerequisites, Process and After activities of Design FMEA.The specific elaboration is provided on Block / Boundary Diagram, P - Diagram, Design validation Process and Report (DVP&R).Also the AIAG FMEA 4TH EDITION is followed here for determining the rating for Severity, Occurrence and Detection.The aim of Design FMEA is to minimize the RISK associated with the design of product for its success. After taking this course one would be able to make an effective design FMEA, which would be beneficial for improvement of an existing product or introducing a new product for a design responsible organization. The course has the following sections:1. Introduction.2. Overview of FMEA Strategy, Planning and Implementation.3. Concept stage activities for DFMEA.4. Construction of Design FMEA.5. Activities after Design FMEA.6. Summary of the program.7. QUIZ on Design FMEAThis course is useful for automotive industry professionals at beginner, middle as well as senior level.

Overview
Section 1: Introduction

Lecture 1 Overview of the training programme.

Lecture 2 General FMEA Guidelines.

Section 2: Overview of FMEA Strategy, Planning and Implementation.

Lecture 3 Overview of FMEA Strategy, Planning and Implementation.

Section 3: Concept stage activities for DFMEA.

Lecture 4 Introduction to DFMEA.

Lecture 5 Prerequisites for Design FMEA.

Lecture 6 Block or Boundary Diagram.

Lecture 7 Interface Matrix.

Lecture 8 P - Diagram or Parameter Diagram.

Section 4: Construction of Design FMEA.

Lecture 9 Explanation of Design FMEA Format.

Lecture 10 Example of Design FMEA.

Section 5: Activities after Design FMEA.

Lecture 11 Activities after Design FMEA including DVP&R.

Section 6: Summary of the program.

Lecture 12 Summary of the program.

Section 7: QUIZ on Design FMEA

Design Engineer, Process Engineer or Engineers of other technical functions in a design responsible automotive industry.,Young engineers / scientists involved in core technical activities in manufacturing industry and wants to enhance their career, with a formal added professional qualification.,Departmental Heads / Trainers who wants to provide training to their subordinates in IATF Core Tools, without sending the participants for outside training for saving of time and money.,Executive of a company can provide training to vendors of the company by casting these video trainings.,An individual working as consultant in IATF 16949 field.

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/iatf-16949-core-tools-design-fmea/

Code:

https://k2s.cc/file/fd106af00e9b7/IATF_16949_Core_Tools_Design_FMEA.rar

Code:

https://nitroflare.com/view/B0338F2676A6895/IATF_16949_Core_Tools_Design_FMEA.rar

Code:

https://rapidgator.net/file/c8543660de11bfa43be3a1ca4cd59a71/IATF_16949_Core_Tools_Design_FMEA.rar.html

[Slon]

Pandemic Legalities: Legal Responses to COVID-19 - Justice, Health, and Social (Law, Society, Policy)
by Dave Cowan (Editor)
English | 176 pages | Bristol University Press; 1st edition (August 1, 2021) | 1529218926 | PDF | 10.93 Mb

This important text maps out ways in which the disadvantaged have been affected by legal responses to COVID-19. Contributors tackle issues including virtual trials, adult social care, racism, tax and spending, education and more. Offering an account of the damage, this book demonstrates positive and productive future responses.

Code:

https://k2s.cc/file/2ea04fe56a897/1529218926.pdf

Code:

https://rapidgator.net/file/5d2d6c2146ec624778288dc5ec2398c5/1529218926.pdf.html

[Slon]

Unsupervised Machine Learning Hidden Markov Models in Python (Last updated 2/2023)
Last updated 2/2023
Created by Lazy Programmer Team,Lazy Programmer Inc.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 64 Lectures ( 9h 48m ) | Size: 2 GB

HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank.



What you'll learn
Understand and enumerate the various applications of Markov Models and Hidden Markov Models
Understand how Markov Models work
Write a Markov Model in code
Apply Markov Models to any sequence of data
Understand the mathematics behind Markov chains
Apply Markov models to language
Apply Markov models to website analytics
Understand how Google's PageRank works
Understand Hidden Markov Models
Write a Hidden Markov Model in Code
Write a Hidden Markov Model using Theano
Understand how gradient descent, which is normally used in deep learning, can be used for HMMs


Requirements
Familiarity with probability and statistics
Understand Gaussian mixture models
Be comfortable with Python and Numpy


Description
TheHidden Markov Model or HMMis all about learning sequences.A lot of the data that would be very useful for us to model is in sequences. Stock prices are sequences of prices. Language is a sequence of words. Credit scoring involves sequences of borrowing and repaying money, and we can use those sequences to predict whether or not you're going to default. In short, sequences are everywhere, and being able to analyze them is an important skill in your data science toolbox.The easiest way to appreciate the kind of information you get from a sequence is to consider what you are reading right now. If I had written the previous sentence backwards, it wouldn't make much sense to you, even though it contained all the same words. So order is important.While the current fad in deep learning is to use recurrent neural networks to model sequences, I want to first introduce you guys to a machine learning algorithm that has been around for several decades now - the Hidden Markov Model.This course follows directly from my first course in Unsupervised Machine Learning for Cluster Analysis, where you learned how to measure the probability distribution of a random variable. In this course, you'll learn to measure the probability distribution of a sequence of random variables. You guys know how much I love deep learning, so there is a little twist in this course. We've already covered gradient descent and you know how central it is for solving deep learning problems. I claimed that gradient descent could be used to optimize any objective function. In this course I will show you how you can use gradient descent to solve for the optimal parameters of an HMM, as an alternative to the popular expectation-maximization algorithm.We're going to do it in Theanoand Tensorflow, which arepopular librariesfor deep learning. This is also going to teach you how to work with sequences in Theano and Tensorflow, which will be very useful when we cover recurrent neural networks and LSTMs.This course is also going to go through the many practical applications of Markov models and hidden Markov models. We're going to look at a model of sickness and health, and calculate how to predict how long you'll stay sick, if you get sick. We're going to talk about how Markov models can be used to analyze how people interact with your website, and fix problem areas like high bounce rate, which could be affecting your SEO. We'll build language models that can be used to identify a writer and even generate text - imagine a machine doing your writing for you.HMMs have been very successful in natural language processingorNLP.We'll look at what is possibly the most recent and prolific application of Markov models - Google's PageRank algorithm. And finally we'll discuss even more practical applications of Markov models, including generating images, smartphone autosuggestions, and using HMMs to answer one of the most fundamental questions in biology - how is DNA, the code of life, translated into physical or behavioral attributes of an organism?All of the materials of this course can be downloaded and installed for FREE. We will do most of our work in Numpy and Matplotlib, along with a little bit of Theano. I am always available to answer your questions and help you along your data science journey.This course focuses on "how to build and understand", not just "how to use". Anyone can learn to use an API in 15 minutes after reading some documentation. It's not about "remembering facts", it's about"seeing for yourself" via experimentation. It will teach you how to visualize what's happening in the model internally. If you wantmorethan just a superficial look at machine learning models, this course is for you.See you in class!"If you can't implement it, you don't understand it"Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand".My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratchOther courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times...Suggested Prerequisites:calculuslinear algebraprobabilityBe comfortable with the multivariate Gaussian distributionPython coding: if/else, loops, lists, dicts, setsNumpy coding: matrix and vector operations, loading a CSV fileWHATORDERSHOULDITAKEYOURCOURSESIN?:Check out the lecture "Machine Learning and AIPrerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)

Who this course is for
Students and professionals who do data analysis, especially on sequence data
Professionals who want to optimize their website experience
Students who want to strengthen their machine learning knowledge and practical skillset
Students and professionals interested in DNA analysis and gene expression
Students and professionals interested in modeling language and generating text from a model

Homepage

Code:

http://anonymz.com/?https://www.udemy.com/course/unsupervised-machine-learning-hidden-markov-models-in-python/

Code:

https://k2s.cc/file/6a2204760784c/Unsupervised_Machine_Learning_Hidden_Markov_Models_in_Python.rar

Code:

https://nitroflare.com/view/F53B40C18238328/Unsupervised_Machine_Learning_Hidden_Markov_Models_in_Python.rar

Code:

https://rapidgator.net/file/a8f0556da68100433d0ee61b02dc374c/Unsupervised_Machine_Learning_Hidden_Markov_Models_in_Python.rar.html

[Slon]

Scamdemic - The COVID-19 Agenda: The Liberal's Plot to Win The White House
by John Iovine
English | 286 pages | Images Si Inc.; 2nd ed. edition (January 11, 2021) | 1623850142 | EPUB | 5.66 Mb

Real pandemics don't rely on faulty prediction models, biased reporting, politicized science, exaggerated mortality rates, and inflated death statistics. Scamdemic, a combination of the words scam and pandemic, defines the mainstream media's orchestration in creating a COVID-19 hysteria. This book does not state that the COVID-19 virus isn't a threat; this book exposes the exaggeration and fearmongering of the COVID-19 virus threat to panic the population.

Code:

https://k2s.cc/file/a77c5afd12c2a/1623850142.epub

Code:

https://rapidgator.net/file/abf937c053ea85b7241bc0f4adb89c71/1623850142.epub.html

[Slon]

Iatf 16949 Core Tools - Measurement System Analysis (Msa)
Last updated 3/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.31 GB | Duration: 6h 45m

Detailed understanding and Excel work book on Measurement System Analysis (MSA) in line with AIAG MSA Manual-4th edn.



What you'll learn
Method and techniques of Measurement System Analysis (MSA) implementation in real scenario in the organization.
Perform a managerial analysis of the MSA implementation for having an effective measurement system.
Will be able to train juniors for conducting MSA as a long term practice.
Will be able to carry out an Measurement System Analysis Study for PPAP requirement very effectively.
Will be able to use Microsoft excel templates and files to practice this core tool and integrating with PPAP (Production Part Approval Process) submission.


Requirements
Person should have a degree / diploma in science / engineering / technology.
Person should have some involvement in the inspection and testing activities in the organization.
Should be able to understand Microsoft Excel formulae, graph etc.
Should have preliminary awareness of Quality Management System.
To understand the statistical calculations clearly, it is recommended that the participant take the course of "Practicing IATF Core Tools -SPC" also.


Description
The course material is organized in sequence of several sections and sub-sections. The basic understanding is elaborated in first few sections, so that even a new comer can follow the course easily. The sections which are related to shop implementation of MSA are elaborated in details with examples in excel sheet. At the end there is a quiz which will help recaps of the key understanding of various sections. Downloadable materials are provided which are useful for technical knowledge, practicing MSA in the organization and also for PPAP submission.

Overview
Section 1: Introduction to MSA

Lecture 1 Overview of Training Program.

Section 2: General Measurement System Guideline.

Lecture 2 Introduction to MSA and Purpose.

Section 3: Terminology related to MSA.

Lecture 3 Terminology related to MSA.

Section 4: Measurement Process.

Lecture 4 Measurement Process.

Section 5: Recommended practices For Replicable Measurement System.

Lecture 5 Test Procedure

Lecture 6 Stability Study

Lecture 7 Bias Study

Lecture 8 Linearity Study

Lecture 9 Gage R&R Study Methods

Lecture 10 Gage R&R Study - Range Method

Lecture 11 Gage R&R Study - Average and Range Method

Lecture 12 Gage R&R Study - ANOVA Method

Lecture 13 Gage R&R Study - Using Minitab Software

Section 6: MSA Study - Attribute Measurement Data

Lecture 14 MSA for Attribute Measurement Data

Lecture 15 Effectiveness Parameters for Attribute Measurement Data

Lecture 16 Interrater Reliability Parameters for Attribute Measurement Data (Kappa)

Section 7: MSA for Non-Replicable Measurement Systems

Lecture 17 MSA for Non-Replicable Measurement Systems

Section 8: Summary of the program and Quiz.

Lecture 18 Summary of the program.

Persons holding executive responsibility in Quality, Manufacturing, Engineering function of automotive manufacturing industries.,Young engineers and scientists working in automotive industries or in other manufacturing industries or in a business process organization and looking for career enhancement.,Department Head / Training Head may offer this program to his / her subordinates for effective training without sending the persons outside for training.,Senior Technical Persons of the company who wants to provide internal training to the junior executives for working as a team and for making PPAP documentation.,Individual who is providing consultancy in IATF 16949-2016 implementation and audit.

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/iatf-16949-core-tools-measurement-system-analysis-msa/

Code:

https://k2s.cc/file/31614a5b0cb4b/IATF_16949_Core_Tools_Measurement_System_Analysis_MSA.rar

Code:

https://nitroflare.com/view/5757D4C9021B950/IATF_16949_Core_Tools_Measurement_System_Analysis_MSA.rar

Code:

https://rapidgator.net/file/6f3278217f1bb137ec906c519f7ed2d0/IATF_16949_Core_Tools_Measurement_System_Analysis_MSA.rar.html

[Slon]

Iatf 16949 Core Tools - Process Flow - Pfmea - Control Plan
Last updated 6/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.82 GB | Duration: 3h 28m

Complete explanation of IATF Core Tools for Process Flow, Process FMEA and Control Plan and worked example.



What you'll learn
1. Method and techniques of Process Flow (PFLOW) documentation in terms of relevant information.
2. Method and techniques of Process Failure Mode and Effect Analysis (PFMEA) documentation in terms of relevant information.
3. Method and techniques of Control Plan (CPLAN) documentation in terms of relevant information.
4. Use of Microsoft excel for integration of PFLOW, PFMEA and CPLAN.


Requirements
1. Degree / Diploma in science or engineering.
2. Have a preliminary awareness of IATF 16949-2016 QMS standard (desirable).
3. Analytical and logical approach in understanding technical subject.
4. Some work experience in one or more technical functions in the company (desirable).
5. Preliminary understanding of simple product drawings, specifications, measurement methods, check sheets / technical records related to manufacturing process.
6. Preliminary working knowledge in Microsoft Excel (desirable).


Description
This course will give your in-depth understanding of IATF Core Tools (Process Flow, Process Failure Mode and Effect Analysis and Control Plan) and will take you through an example. Downloadable excel files and PDF files are provided which you can use for making these documents effectively for your organization products.

Overview
Section 1: Introduction and course overview

Lecture 1 Introduction of the trainer and the course applicability

Lecture 2 Overview of IATF Core tools (Process flow, PFMEA and Control Plan)

Section 2: Process Flow (PFLOW)

Lecture 3 PFLOW Detailed Explanation

Lecture 4 PFLOW Example

Section 3: Process Failure Mode and Effect Analysis (PFMEA)

Lecture 5 PFMEA Details Explanation

Lecture 6 PFMEA Example

Lecture 7 Reduction of Occurrence number in PFMEA - Cause Analysis

Section 4: Control Plan (CPLAN)

Lecture 8 Control Plan (CPLAN) Detailed Explanation

Lecture 9 Example of Control Plan for manufacturing

Section 5: Summary of the program.

Lecture 10 Summary of the program.

1. Persons holding executive responsibility in Quality, Manufacturing, Engineering function of automotive manufacturing industries.,2. Young engineers and scientists working in automotive industries and looking for career enhancement.,3. Department Head / Training Head may offer this program to his / her subordinates for effective training without sending the persons outside for training.,4. Senior Technical Persons of the company who wants to provide internal training to the junior executives for working as a team and for making PPAP documentation.

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/practicing-iatf-16949-core-tools-pflow-pfmea-cplan/

Code:

https://k2s.cc/file/ae4ec660898b8/IATF_16949_Core_Tools_PROCESS_FLOW_PFMEA_CONTROL_PLAN.rar

Code:

https://nitroflare.com/view/056FFC0419B58E4/IATF_16949_Core_Tools_PROCESS_FLOW_PFMEA_CONTROL_PLAN.rar

Code:

https://rapidgator.net/file/fd27aee8b413e79f8c4cd26c89f16347/IATF_16949_Core_Tools_PROCESS_FLOW_PFMEA_CONTROL_PLAN.rar.html

[Slon]

Covid-19: Sinn in der Krise
by Beuerbach, Jan, Gülker, Silke, Karstein, Uta, Rösener, Ringo
German | 409 pages | de Gruyter (8 November 2021) | 3110737094 | PDF | 66.48 Mb

Die Covid-19-Pandemie stellt Gewohnheiten und Sinnzusammenhänge der alltäglichen Lebenswelt vielfältig in Frage. Ordnungen von Solidarität und Vulnerabilität, Körper und Raum, Alltag und Ausnahme, Zeit und Erinnerung werden neu verhandelt. Das Buch versammelt Beiträge aus dem gesamten Spektrum der Kultur- und Sozialwissenschaften, um diese Krise zu deuten: ihre Besonderheit und Vergleichbarkeit, ihre Widersprüchlichkeit und Einheitlichkeit.

Code:

https://k2s.cc/file/d10e1f350a372/3110737094.pdf

Code:

https://rapidgator.net/file/3f0e69860c8dc075a66a6499b5459672/3110737094.pdf.html

[Slon]

IATF Core Tools - PFLOW, FMEA, CPLAN, SPC, MSA, PPAP, APQP.
Last updated 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 18.93 GB | Duration: 31h 37m

All Core Tools of IATF 16949: Process Flow, Process FMEA, Control Plan, Design FMEA, SPC, MSA, PPAP and APQP



What you'll learn
Clear understanding of various elements of All Core Tools of IATF 16949: 2016 QMS and processes.
Will be able to prepare and review PPAP document effectively to improve effectiveness of product design, process design and development activities.
Will be able to review the PPAP of suppliers effectively.
Will be able to formulate effective PROCESS FLOW, DFMEA, PFMEA and CONTROL PLAN for different types of processes.
Will be able to contribute in internal audit and supplier audit process effectively.
Will be able to implement SPC in the organization for quality improvement.
Will be able to conduct MSA for Variable and Attribute Measurements Effectively.
Will be able to practice APQP process effectively to meet the customer's timeline.
People from Bulk Material industries will get a clear understanding (in PPAP section) about how the core tools are applied differently for bulk materials.


Requirements
Person should have a degree / diploma in science / engineering / technology.
Person should have some involvement in operational function of the company such as production, quality assurance, engineering, design, testing, inspection, supplier assessment, purchase, service etc.
Person should be familiar with working in excel for making simple documentation, calculation, formatting etc.
An awareness of Quality Management System, such as ISO 9001, IATF 16949 would be added advantage.
Should cultivate team work in organization.


Description
This course covers the following IATF Core Tools in details, namely: 1. Process Flow Diagram,2. Process Failure Mode and Effect Analysis (PFMEA),3. Control Plan,4. Design Failure Mode and Effect Analysis (DFMEA),5. Statistical Process Control (SPC),6. Measurement System Analysis (MSA),7. Production Part Approval Process (PPAP) and8. Advanced Product Quality Planning (APQP).The course material is in line with the following AIAG Manuals:AIAG FMEA Manual - 4th edition,AIAG SPC Manual - 2nd edition,AIAG MSA Manual - 4th edition,AIAG PPAP Manual - 4th edition andAIAG APQP Manual - 2nd edition.Apart from details explanation of the various elements of Core Tools, downloadable resources are provided (in excel file) which can used in practice.Also there are quizzes in every section for testing the knowledge gained from the course.

Overview
Section 1: Introduction

Lecture 1 Overview of the program

Section 2: Process Flow, PFMEA and Control Plan

Lecture 2 Overview of Process Flow, Process FMEA and Control Plan

Lecture 3 Process Flow - Details Explanation

Lecture 4 Process Flow Example

Lecture 5 Process FMEA Detail Explanation

Lecture 6 Process FMEA example

Lecture 7 Process FMEA example of OCCURRENCE NUMBER reduction

Lecture 8 Control Plan - Details Explanation

Lecture 9 Control Plan - Example

Lecture 10 Summary of the program - PFLOW-PFMEA-CPLAN.

Section 3: Design Failure Mode and Effects Analysis (Design FMEA)

Lecture 11 General FMEA Guidelines.

Lecture 12 Overview of FMEA Strategy, Planning and Implementation.

Lecture 13 Introduction to DFMEA.

Lecture 14 Prerequisites for Design FMEA.

Lecture 15 Block or Boundary Diagram.

Lecture 16 Interface Matrix.

Lecture 17 P - Diagram or Parameter Diagram.

Lecture 18 Explanation of Design FMEA Format.

Lecture 19 Example of Design FMEA.

Lecture 20 Activities after Design FMEA.

Lecture 21 Summary of the Design FMEA Training Program.

Section 4: Statistical Process Control (SPC).

Lecture 22 Purpose of SPC in automotive manufacturing.

Lecture 23 Basic understanding of SPC.

Lecture 24 Steps for Implementation of SPC.

Lecture 25 Making X-bar/R - control chart in shop floor.

Lecture 26 Calculation of Control Limits for X-bar/R - control chart.

Lecture 27 Analysis and Correction of Control Limits for X-bar / R Control Chart.

Lecture 28 Implementation of X-bar / R Control Chart

Lecture 29 Other variable control charts.

Lecture 30 Attribute control charts.

Lecture 31 Process Capability and Process Performance.

Lecture 32 Over-adjustment.

Lecture 33 Selection of appropriate control chart.

Lecture 34 Stoplight and Pre-Control methods.

Lecture 35 Use of Minitab for SPC

Lecture 36 Summary of SPC Training.

Section 5: Measurement System Analysis (MSA).

Lecture 37 Introduction and Purpose of MSA.

Lecture 38 Terminology related to MSA.

Lecture 39 Measurement Process.

Lecture 40 Replicable Measurement System - Test Procedure.

Lecture 41 Stability Study.

Lecture 42 Bias Study.

Lecture 43 Linearity Study.

Lecture 44 Gage R&R Study Methods.

Lecture 45 Gage R&R Study - Range Method.

Lecture 46 Gage R&R Study - Average and Range Method.

Lecture 47 Gage R&R Study - ANOVA Method.

Lecture 48 Gage R&R Study by using MINITAB Software.

Lecture 49 MSA for Attribute Measurement Data.

Lecture 50 MSA for Attribute Measurement Data - Effectiveness Parameters.

Lecture 51 MSA for Attribute Measurement Data - Interraters Reliability.

Lecture 52 Non-Replicable Measurements - MSA Study.

Lecture 53 Summary MSA Training Program.

Section 6: Production Part Approval Process (PPAP)

Lecture 54 Introduction to PPAP.

Lecture 55 General understanding of Submission of PPAP.

Lecture 56 Significant Production Run.

Lecture 57 18 Elements of PPAP Document and Parts.

Lecture 58 Design Record.

Lecture 59 Authorized Engineering Change Documents.

Lecture 60 Customer Engineering Approval.

Lecture 61 Design FMEA.

Lecture 62 Process Flow Diagram.

Lecture 63 Process FMEA.

Lecture 64 Control Plan.

Lecture 65 Measurement System Analysis (MSA).

Lecture 66 Dimensional Result.

Lecture 67 Material Test Results.

Lecture 68 Performance Test Results.

Lecture 69 Initial Process Studies.

Lecture 70 Qualified Laboratory Documentation.

Lecture 71 Appearance Approval Report (AAR).

Lecture 72 Sample Production Parts.

Lecture 73 Master Sample.

Lecture 74 Checking Aids.

Lecture 75 Customer-Specific Requirements.

Lecture 76 Part Submission Warrant (PSW).

Lecture 77 Customer Notification.

Lecture 78 Submission to Customer.

Lecture 79 PPAP Submission Levels.

Lecture 80 PPAP Submission Status.

Lecture 81 Record Retention for PPAP.

Lecture 82 Bulk Material Specific Requirements Part-1.

Lecture 83 Bulk Material Specific Requirements - Part-2.

Lecture 84 Bulk Material Specific Requirements - Part-3.

Lecture 85 Tire / Tyre Industry Specific Requirements.

Lecture 86 Truck Industries Specific Requirements.

Lecture 87 Summary of PPAP Training Program.

Section 7: Advanced Product Quality Planning (APQP)

Lecture 88 Fundamentals of Product Quality Planning

Lecture 89 Phases of APQP - General Understanding

Lecture 90 Phase-1: Plan and Define Program

Lecture 91 Phase-2: Product Design and Development

Lecture 92 Phase-3: Process Design and Development

Lecture 93 Phase-4: Product and Process Validation

Lecture 94 Phase-5: Feedback, Assessment and Corrective Action

Lecture 95 Control Plan Format and Example

Lecture 96 Dominating Factors in Control Plan

Lecture 97 Product Quality Planning Checklist

Lecture 98 Analytical Techniques

Lecture 99 Summary of APQP program

Design Engineer, Process Engineer or Engineers of other technical and tecno-commercial functions in automotive industry.,Young engineers / scientists involved in technical activities in manufacturing industry and wants to enhance their career, with a formal added professional qualification.,Departmental Heads / Trainers who wants to provide training to their subordinates in IATF Core Tools, without sending the participants for outside training for saving of time and money.,Executive of a company can provide training to vendors of the company by casting these video training's.,An individual working as consultant in IATF 16949 field.

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/iatf-core-tools-pflow-fmea-cplan-spc-msa-ppap-apqp/

Code:

https://k2s.cc/file/71c5d4c15fb02/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part1.rar
https://k2s.cc/file/1f9bbda7c1bd1/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part2.rar
https://k2s.cc/file/cdf94910067e0/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part3.rar
https://k2s.cc/file/8b76b2c95409d/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part4.rar

Code:

https://nitroflare.com/view/CF73E86CB81441A/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part1.rar
https://nitroflare.com/view/29D68457C6783D7/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part2.rar
https://nitroflare.com/view/EB7EF846938D702/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part3.rar
https://nitroflare.com/view/2073A2E5DE0BABE/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part4.rar

Code:

https://rapidgator.net/file/585741de05393f883b5585af66b76bdd/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part1.rar.html
https://rapidgator.net/file/0ae22a0719137ef460184d3b08d9c9a7/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part2.rar.html
https://rapidgator.net/file/814548e00c177a450212768fe129d23f/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part3.rar.html
https://rapidgator.net/file/828e5047a09893cdc13702ccd202b0fa/IATF_Core_Tools_PFLOW_FMEA_CPLAN_SPC_MSA_PPAP_APQP.part4.rar.html

[Slon]

Deep Learning Prerequisites: Logistic Regression in Python
Genre: eLearning | MP4 | Video: h264, 1278x796 | Audio: aac, 44100 Hz
Language: English + SRT | Size: 1.10 GB | Duration: 6h 19m



What you'll learn
program logistic regression from scratch in Python
describe how logistic regression is useful in data science
derive the error and update rule for logistic regression
understand how logistic regression works as an analogy for the biological neuron
use logistic regression to solve real-world business problems like predicting user actions from e-commerce data and facial expression recognition
understand why regularization is used in machine learning


Requirements
Derivatives, matrix arithmetic, probability
You should know some basic Python coding with the Numpy Stack

Description
This course is a lead-in to deep learning and neural networks - it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python.

This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for free.

This course provides you with many practical examples so that you can really see how deep learning can be used on anything. Throughout the course, we'll do a course project, which will show you how to predict user actions on a website given user data like whether or not that user is on a mobile device, the number of products they viewed, how long they stayed on your site, whether or not they are a returning visitor, and what time of day they visited.

Another project at the end of the course shows you how you can use deep learning for facial expression recognition. Imagine being able to predict someone's emotions just based on a picture!

If you are a programmer and you want to enhance your coding abilities by learning about data science, then this course is for you. If you have a technical or mathematical background, and you want use your skills to make data-driven decisions and optimize your business using scientific principles, then this course is for you.

This course focuses on "how to build and understand", not just "how to use". Anyone can learn to use an API in 15 minutes after reading some documentation. It's not about "remembering facts", it's about "seeing for yourself" via experimentation. It will teach you how to visualize what's happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you.

"If you can't implement it, you don't understand it"

Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand".

My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch

Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?

After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times...

Suggested Prerequisites:

calculus (taking derivatives)

matrix arithmetic

probability

Python coding: if/else, loops, lists, dicts, sets

Numpy coding: matrix and vector operations, loading a CSV file

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:

Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)


Who this course is for:
Adult learners who want to get into the field of data science and big data
Students who are thinking of pursuing machine learning or data science
Students who are tired of boring traditional statistics and prewritten functions in R, and want to learn how things really work by implementing them in Python
People who know some machine learning but want to be able to relate it to artificial intelligence
People who are interested in bridging the gap between computational neuroscience and machine learning

Code:

https://k2s.cc/file/26705436c0c30/Deep_Learning_Prerequisites_Linear_Regression_in_Python.rar

Code:

https://nitroflare.com/view/2389870D28E1468/Deep_Learning_Prerequisites_Linear_Regression_in_Python.rar

Code:

https://rapidgator.net/file/37956dfc77aaee2a5c9e034736fd8fd9/Deep_Learning_Prerequisites_Linear_Regression_in_Python.rar.html

[Slon]

Deep Learning Prerequisites: Linear Regression in Python (Update)
Bestseller | h264, yuv420p, 1280x720 | ENGLISH, aac, 44100 Hz, 2 channels | 6h 10mn | 1.08 GB
Created by: Lazy Programmer Inc.

Data science: Learn linear regression from scratch and build your own working program in Python for data analysis.



What you'll learn

Derive and solve a linear regression model, and apply it appropriately to data science problems
Program your own version of a linear regression model in Python


Requirements

How to take a derivative using calculus
Basic Python programming
For the advanced section of the course, you will need to know probability


Description

This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own linear regression module in Python.

Linear regression is the simplest machine learning model you can learn, yet there is so much depth that you'll be returning to it for years to come. That's why it's a great introductory course if you're interested in taking your first steps in the fields of:

deep learning

machine learning

data science

statistics

In the first section, I will show you how to use 1-D linear regression to prove that Moore's Law is true.

What's that you say? Moore's Law is not linear?

You are correct! I will show you how linear regression can still be applied.

In the next section, we will extend 1-D linear regression to any-dimensional linear regression - in other words, how to create a machine learning model that can learn from multiple inputs.

We will apply multi-dimensional linear regression to predicting a patient's systolic blood pressure given their age and weight.

Finally, we will discuss some practical machine learning issues that you want to be mindful of when you perform data analysis, such as generalization, overfitting, train-test splits, and so on.

This course does not require any external materials. Everything needed (Python, and some Python libraries) can be obtained for FREE.

If you are a programmer and you want to enhance your coding abilities by learning about data science, then this course is for you. If you have a technical or mathematical background, and you want to know how to apply your skills as a software engineer or "hacker", this course may be useful.

This course focuses on "how to build and understand", not just "how to use". Anyone can learn to use an API in 15 minutes after reading some documentation. It's not about "remembering facts", it's about "seeing for yourself" via experimentation. It will teach you how to visualize what's happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you.

Suggested Prerequisites:

calculus (taking derivatives)

matrix arithmetic

probability

Python coding: if/else, loops, lists, dicts, sets

Numpy coding: matrix and vector operations, loading a CSV file

TIPS (for getting through the course):

Watch it at 2x.

Take handwritten notes. This will drastically increase your ability to retain the information.

Write down the equations. If you don't, I guarantee it will just look like gibberish.

Ask lots of questions on the discussion board. The more the better!

Realize that most exercises will take you days or weeks to complete.

Write code yourself, don't just sit there and look at my code.

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:

Check out the lecture "What order should I take your courses in?" (available in the Appendix of any of my courses, including the free Numpy course)


Who this course is for:

People who are interested in data science, machine learning, statistics and artificial intelligence
People new to data science who would like an easy introduction to the topic
People who wish to advance their career by getting into one of technology's trending fields, data science
Self-taught programmers who want to improve their computer science theoretical skills
Analytics experts who want to learn the theoretical basis behind one of statistics' most-used algorithms

Code:

https://nitroflare.com/view/2389870D28E1468/Deep_Learning_Prerequisites_Linear_Regression_in_Python.rar

Code:

https://rapidgator.net/file/37956dfc77aaee2a5c9e034736fd8fd9/Deep_Learning_Prerequisites_Linear_Regression_in_Python.rar.html

Code:

https://k2s.cc/file/26705436c0c30/Deep_Learning_Prerequisites_Linear_Regression_in_Python.rar

[Slon]

Bayesian Machine Learning in Python: A/B Testing (updated 11/2022)
Last updated 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.59 GB | Duration: 10h 24m

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More



What you'll learn
Use adaptive algorithms to improve A/B testing performance
Understand the difference between Bayesian and frequentist statistics
Apply Bayesian methods to A/B testing


Requirements
Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)
Python coding with the Numpy stack


Description
This course is all about A/B testing.A/B testing is used everywhere. Marketing, retail, newsfeeds, online advertising, and more.A/B testing is all about comparing things.If you're a data scientist, and you want to tell the rest of the company, "logo A is better than logo B", well you can't just say that without proving it using numbers and statistics.Traditional A/B testing has been around for a long time, and it's full of approximations and confusing definitions.In this course, while we will do traditional A/B testing in order to appreciate its complexity, what we will eventually get to is the Bayesian machine learning way of doing things.First, we'll see if we can improve on traditional A/B testing with adaptive methods. These all help you solve the explore-exploit dilemma.You'll learn about the epsilon-greedy algorithm, which you may have heard about in the context of reinforcement learning.We'll improve upon the epsilon-greedy algorithm with a similar algorithm called UCB1.Finally, we'll improve on both of those by using a fully Bayesian approach.Why is the Bayesian method interesting to us in machine learning?It's an entirely different way of thinking about probability.It's a paradigm shift.You'll probably need to come back to this course several times before it fully sinks in.It's also powerful, and many machine learning experts often make statements about how they "subscribe to the Bayesian college of thought".In sum - it's going to give us a lot of powerful new tools that we can use in machine learning.The things you'll learn in this course are not only applicable to A/B testing, but rather, we're using A/B testing as a concrete example of how Bayesian techniques can be applied.You'll learn these fundamental tools of the Bayesian method - through the example of A/B testing - and then you'll be able to carry those Bayesian techniques to more advanced machine learning models in the future.See you in class!"If you can't implement it, you don't understand it"Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand".My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratchOther courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times...Suggested Prerequisites:Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)Python coding: if/else, loops, lists, dicts, setsNumpy, Scipy, MatplotlibWHAT ORDER SHOULD I TAKE YOUR COURSES IN?:Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)UNIQUE FEATURESEvery line of code explained in detail - email me any time if you disagreeNo wasted time "typing" on the keyboard like other courses - let's be honest, nobody can really write code worth learning about in just 20 minutes from scratchNot afraid of university-level math - get important details about algorithms that other courses leave out

Overview
Section 1: Introduction and Outline

Lecture 1 What's this course all about?

Lecture 2 Where to get the code for this course

Lecture 3 How to succeed in this course

Section 2: The High-Level Picture

Lecture 4 Real-World Examples of A/B Testing

Lecture 5 What is Bayesian Machine Learning?

Section 3: Bayes Rule and Probability Review

Lecture 6 Review Section Introduction

Lecture 7 Probability and Bayes' Rule Review

Lecture 8 Calculating Probabilities - Practice

Lecture 9 The Gambler

Lecture 10 The Monty Hall Problem

Lecture 11 Maximum Likelihood Estimation - Bernoulli

Lecture 12 Click-Through Rates (CTR)

Lecture 13 Maximum Likelihood Estimation - Gaussian (pt 1)

Lecture 14 Maximum Likelihood Estimation - Gaussian (pt 2)

Lecture 15 CDFs and Percentiles

Lecture 16 Probability Review in Code

Lecture 17 Probability Review Section Summary

Lecture 18 Beginners: Fix Your Understanding of Statistics vs Machine Learning

Lecture 19 Suggestion Box

Section 4: Traditional A/B Testing

Lecture 20 Confidence Intervals (pt 1) - Intuition

Lecture 21 Confidence Intervals (pt 2) - Beginner Level

Lecture 22 Confidence Intervals (pt 3) - Intermediate Level

Lecture 23 Confidence Intervals (pt 4) - Intermediate Level

Lecture 24 Confidence Intervals (pt 5) - Intermediate Level

Lecture 25 Confidence Intervals Code

Lecture 26 Hypothesis Testing - Examples

Lecture 27 Statistical Significance

Lecture 28 Hypothesis Testing - The API Approach

Lecture 29 Hypothesis Testing - Accept Or Reject?

Lecture 30 Hypothesis Testing - Further Examples

Lecture 31 Z-Test Theory (pt 1)

Lecture 32 Z-Test Theory (pt 2)

Lecture 33 Z-Test Code (pt 1)

Lecture 34 Z-Test Code (pt 2)

Lecture 35 A/B Test Exercise

Lecture 36 Classical A/B Testing Section Summary

Section 5: Bayesian A/B Testing

Lecture 37 Section Introduction: The Explore-Exploit Dilemma

Lecture 38 Applications of the Explore-Exploit Dilemma

Lecture 39 Epsilon-Greedy Theory

Lecture 40 Calculating a Sample Mean (pt 1)

Lecture 41 Epsilon-Greedy Beginner's Exercise Prompt

Lecture 42 Designing Your Bandit Program

Lecture 43 Epsilon-Greedy in Code

Lecture 44 Comparing Different Epsilons

Lecture 45 Optimistic Initial Values Theory

Lecture 46 Optimistic Initial Values Beginner's Exercise Prompt

Lecture 47 Optimistic Initial Values Code

Lecture 48 UCB1 Theory

Lecture 49 UCB1 Beginner's Exercise Prompt

Lecture 50 UCB1 Code

Lecture 51 Bayesian Bandits / Thompson Sampling Theory (pt 1)

Lecture 52 Bayesian Bandits / Thompson Sampling Theory (pt 2)

Lecture 53 Thompson Sampling Beginner's Exercise Prompt

Lecture 54 Thompson Sampling Code

Lecture 55 Thompson Sampling With Gaussian Reward Theory

Lecture 56 Thompson Sampling With Gaussian Reward Code

Lecture 57 Exercise on Gaussian Rewards

Lecture 58 Why don't we just use a library?

Lecture 59 Nonstationary Bandits

Lecture 60 Bandit Summary, Real Data, and Online Learning

Lecture 61 (Optional) Alternative Bandit Designs

Section 6: Bayesian A/B Testing Extension

Lecture 62 More about the Explore-Exploit Dilemma

Lecture 63 Confidence Interval Approximation vs. Beta Posterior

Lecture 64 Adaptive Ad Server Exercise

Section 7: Practice Makes Perfect

Lecture 65 Intro to Exercises on Conjugate Priors

Lecture 66 Exercise: Die Roll

Lecture 67 The most important quiz of all - Obtaining an infinite amount of practice

Section 8: Setting Up Your Environment (FAQ by Student Request)

Lecture 68 Anaconda Environment Setup

Lecture 69 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow

Section 9: Extra Help With Python Coding for Beginners (FAQ by Student Request)

Lecture 70 How to Code by Yourself (part 1)

Lecture 71 How to Code by Yourself (part 2)

Lecture 72 Proof that using Jupyter Notebook is the same as not using it

Lecture 73 Python 2 vs Python 3

Section 10: Effective Learning Strategies for Machine Learning (FAQ by Student Request)

Lecture 74 How to Succeed in this Course (Long Version)

Lecture 75 Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced?

Lecture 76 Machine Learning and AI Prerequisite Roadmap (pt 1)

Lecture 77 Machine Learning and AI Prerequisite Roadmap (pt 2)

Section 11: Appendix / FAQ Finale

Lecture 78 What is the Appendix?

Lecture 79 BONUS

Students and professionals with a technical background who want to learn Bayesian machine learning techniques to apply to their data science work

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/bayesian-machine-learning-in-python-ab-testing/

Code:

https://k2s.cc/file/e83a2d8ad5db0/Bayesian_Machine_Learning_in_Python_AB_Testing.rar

Code:

https://nitroflare.com/view/BFB7B0B19ADAC96/Bayesian_Machine_Learning_in_Python_AB_Testing.rar

Code:

https://rapidgator.net/file/4823f1842803af0ab991d787d00f137c/Bayesian_Machine_Learning_in_Python_AB_Testing.rar.html

[Slon]

SAP Ariba Simplified Procurement & Supply Chain Solutions 2022
Published 07/2022
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.47 GB | Duration: 112 lectures • 35h 42m

Complete SAP Ariba End To End Implementation Training Courses



What you'll learn
Configuration and Implementation for SAP Ariba module
Requirements gathering for the Business Record to Report process cycle
After Completing this course, you will become SAP Ariba Consultant with understanding of logic behind configuration
Hands-on experience with SAP Ariba


Requirements
Mobile
PC Or Laptop

Description
Why choose SAP Ariba?

Influence what happens next for your organization. Digitalize and fully integrate your source-to-pay process with market-leading spend management solutions for sourcing and procurement. You'll get the data-drive intelligence and supply chain visibility you need to mitigate supplier risk and achieve long-term resiliency against supply chain disruption. And working within the connected community of the world's largest business network, engage in real-time supplier collaboration and dynamic partnerships to drive innovation and keep your business moving forward.

What is SAP Ariba?

SAP Ariba is a cloud-based innovative solution that allows suppliers and buyers to connect and do business on a single platform. It improves over all vendor management system of an organization by providing less costly ways of procurement and making business simple. Ariba acts as supply chain, procurement service to do business globally. SAP Ariba digitally transforms your supply chain, procurement and contract management process.

In today's world, there is a need to control your supply chain and to collaborate with your suppliers in an efficient way. To enable healthy supply chain, you need to have suppliers with visibility to every part of procurement process so that they can maintain an efficient supply chain and help organizations to grow their and own business.

The cloud based innovative solution was first developed in 1996 by a company named Ariba and was later acquired by SAP in 2012 with a total acquisition cost of 4.3 billion USD with each share cost $45. Thus, the name SAP Ariba. At the onset, Ariba was a B2B company to do procurement over Internet and was the first one to introduce IPO in 1999.

Key Features of SAP Ariba

In this section, we will learn about the key features of SAP Ariba.

SAP Ariba is a B2B solution that allows you to connect to the world's largest network of vendors and suppliers and enhance business collaboration with the right business partners.

SAP Ariba allows organizations to connect with the right suppliers with deep visibility to your inside vendor and procurement management processes giving way to error free business transactions.

With SAP Ariba, you can directly connect Ariba network with millions of suppliers meeting your business needs and managing supply chain.

SAP Ariba network removes overall complexity in procurement process and suppliers and buyers can manage all key terms of vendor management on a single network.

With acquisition of SAP, Ariba can easily integrate with different SAP ERP solutions like SAP ECC and S/4 HANA with easy to configure workflows to automate different processes in complete procurement cycle.

You can easily integrate master and transactional data from different ERP solution to Ariba processes.

Who this course is for
SAP Ariba Consultant
SAP Ariba Developer
SAP Ariba End-User

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/sap-ariba-simplified-procurement-supply-chain-solutions-2022/

Code:

https://nitroflare.com/view/D4F199F77A1C362/SAP_Ariba_Simplified_Procurement_%26_Supply_Chain_Solutions.part1.rar
https://nitroflare.com/view/494AA39CCD61ACC/SAP_Ariba_Simplified_Procurement_%26_Supply_Chain_Solutions.part2.rar

Code:

https://k2s.cc/file/ee593d5674d1d/SAP_Ariba_Simplified_Procurement___Supply_Chain_Solutions.part1.rar
https://k2s.cc/file/e378215763bc7/SAP_Ariba_Simplified_Procurement___Supply_Chain_Solutions.part2.rar

Code:

https://rapidgator.net/file/5b44832478d6c4f2aa17dabf03059d22/SAP_Ariba_Simplified_Procurement_&_Supply_Chain_Solutions.part1.rar.html
https://rapidgator.net/file/18f6b1f9fca8cddb1bfc51f8255fb650/SAP_Ariba_Simplified_Procurement_&_Supply_Chain_Solutions.part2.rar.html

[Slon]

Data Science & Machine Learning Naive Bayes in Python
Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 lectures (5h) | Size: 2.2 GB

Master a crucial artificial intelligence algorithm and skyrocket your Python programming skills



What you'll learn
Apply Naive Bayes to image classification (Computer Vision)
Apply Naive Bayes to text classification (NLP)
Apply Naive Bayes to Disease Prediction, Genomics, and Financial Analysis
Understand Naive Bayes concepts and algorithm
Implement multiple Naive Bayes models from scratch


Requirements
Decent Python programming skills
Experience with Numpy, Matplotlib, and Pandas (we'll be using these)
For advanced portions: know probability


Description
In this self-paced course, you will learn how to apply Naive Bayes to many real-world datasets in a wide variety of areas, such as

computer vision

natural language processing

financial analysis

healthcare

genomics

Why should you take this course? Naive Bayes is one of the fundamental algorithms in machine learning, data science, and artificial intelligence. No practitioner is complete without mastering it.

This course is designed to be appropriate for all levels of students, whether you are beginner, intermediate, or advanced. You'll learn both the intuition for how Naive Bayes works and how to apply it effectively while accounting for the unique characteristics of the Naive Bayes algorithm. You'll learn about when and why to use the different versions of Naive Bayes included in Scikit-Learn, including GaussianNB, BernoulliNB, and MultinomialNB.

In the advanced section of the course, you will learn about how Naive Bayes really works under the hood. You will also learn how to implement several variants of Naive Bayes from scratch, including Gaussian Naive Bayes, Bernoulli Naive Bayes, and Multinomial Naive Bayes. The advanced section will require knowledge of probability, so be prepared!

Thank you for reading and I hope to see you soon!

Suggested Prerequisites

Decent Python programming skill

Comfortable with data science libraries like Numpy and Matplotlib

For the advanced section, probability knowledge is required

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?

Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including my free course)

UNIQUE FEATURES

Every line of code explained in detail - email me any time if you disagree

Less than 24 hour response time on Q&A on average

Not afraid of university-level math - get important details about algorithms that other courses leave out

Who this course is for
Beginner Python developers curious about data science and machine learning
Students and professionals interested in machine learning fundamentals

Homepage

Code:

https://anonymz.com/?https://www.udemy.com/course/data-science-machine-learning-naive-bayes-in-python/

Code:

https://nitroflare.com/view/428C6061C88F69A/Data_Science_%26_Machine_Learning_Naive_Bayes_in_Python.rar

Code:

https://k2s.cc/file/540d2b156db2a/Data_Science___Machine_Learning_Naive_Bayes_in_Python.rar

Code:

https://rapidgator.net/file/e0a875882e6a4e38448e04ce0f894077/Data_Science_&_Machine_Learning_Naive_Bayes_in_Python.rar.html

[Slon]

Poverty, by America [Audiobook]
English | ASIN: B0B6467LCJ | 2023 | 5 hours and 40 minutes | M4B@128 kbps | 314 MB
Author: Matthew Desmond
Narrator: Dion Graham

The Pulitzer Prize-winning, bestselling author reimagines the debate on poverty, making a new and bracing argument about why it persists in America: because the rest of us benefit from it. The United States, the richest country on earth, has more poverty than any other advanced democracy. Why? Why does this land of plenty allow one in every eight of its children to go without basic necessities, permit scores of its citizens to live and die on the streets, and authorize its corporations to pay poverty wages? In this landmark book, acclaimed sociologist Matthew Desmond draws on history, research, and original reporting to show how affluent Americans knowingly and unknowingly keep poor people poor.

Those of us who are financially secure exploit the poor, driving down their wages while forcing them to overpay for housing and access to cash and credit. We prioritize the subsidization of our wealth over the alleviation of poverty, designing a welfare state that gives the most to those who need the least. And we stockpile opportunity in exclusive communities, creating zones of concentrated riches alongside those of concentrated despair. Some lives are made small so that others may grow. Elegantly written and fiercely argued, this compassionate book gives us new ways of thinking about a morally urgent problem. It also helps us imagine solutions. Desmond builds a startlingly original and ambitious case for ending poverty. He calls on us all to become poverty abolitionists, engaged in a politics of collective belonging to usher in a new age of shared prosperity and, at last, true freedom.

Code:

https://nitroflare.com/view/B4D6A9E29A6306F/Poverty_by_America_A.mp4

Code:

https://k2s.cc/file/6d76442812313/Poverty_by_America_A.mp4

Code:

https://rapidgator.net/file/471bf80f1107eabefbe48363cde34822/Poverty_by_America_A.mp4.html

[Slon]

Outlive: The Science and Art of Longevity [Audiobook]
English | ASIN: B0B64WL9PK | 2023 | 17 hours and 7 minutes | MP3@64 kbps | 471 MB
Author: Peter Attia MD, Bill Gifford
Narrator: Peter Attia

A groundbreaking manifesto on living better and longer that challenges the conventional medical thinking on aging and reveals a new approach to preventing chronic disease and extending long-term health, from a visionary physician and leading longevity expert. Wouldn't you like to live longer? And better? In this operating manual for longevity, Dr. Peter Attia draws on the latest science to deliver innovative nutritional interventions, techniques for optimizing exercise and sleep, and tools for addressing emotional and mental health. For all its successes, mainstream medicine has failed to make much progress against the diseases of aging that kill most people: heart disease, cancer, Alzheimer's disease, and type 2 diabetes.

Too often, it intervenes with treatments too late to help, prolonging lifespan at the expense of healthspan, or quality of life. Dr. Attia believes we must replace this outdated framework with a personalized, proactive strategy for longevity, one where we take action now, rather than waiting. This is not "biohacking," it's science: a well-founded strategic and tactical approach to extending lifespan while also improving our physical, cognitive, and emotional health. Dr. Attia's aim is less to tell you what to do and more to help you learn how to think about long-term health, in order to create the best plan for you as an individual. Aging and longevity are far more malleable than we think; our fate is not set in stone. With the right roadmap, you can plot a different path for your life, one that lets you outlive your genes to make each decade better than the one before.

Code:

https://nitroflare.com/view/261AA841A897219/Outlive_The_Science_and_Art_of_Longevity_A.mp3

Code:

https://k2s.cc/file/d7557732042c0/Outlive_The_Science_and_Art_of_Longevity_A.mp3

Code:

https://rapidgator.net/file/5f85bf22be66fc7f720e25b8e4596ffa/Outlive_The_Science_and_Art_of_Longevity_A.mp3.html

[Slon]

CBTNuggets - Windows Server Hybrid Administrator Associate Certification Training (AZ-800 & AZ-801)
Released 08/2022
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 354 Lessons (56h 11m) | Size: 52.2 GB

This intermediate-level Server Hybrid Administrator Associate training prepares systems administrators to take the AZ-800 and AZ-801 exams, which are the two exams required to earn the Windows Server Hybrid Administrator Associate certification

The AZ-800 is the first half of Microsoft's overall Windows Server Hybrid Administrator Associate. The AZ-800 is the exam someone should take if they're focused on administering servers and workloads that run on Windows Server, whether on-premises or in hybrid environments.

Even for an administrator who isn't planning on earning the whole certification, the AZ-800 is a good intermediate-level exam for testing familiarity with managing operations on Windows Servers - on-prem or hybrid.

For IT managers, this Microsoft training can be used for AZ-800 and AZ-801 exam prep, onboarding new systems administrators, individual or team training plans, or as a Microsoft reference resource.

Windows Server Hybrid Administrator Associate: What You Need to Know
This Windows Server Hybrid Administrator Associate training maps to the AZ-800 and AZ-801 exam objectives, and covers topics such as

Deploying and managing Active Directory Domain services in hybrid environments
Managing Windows Server servers and workloads in hybrid environments
Managing virtual machines and containers
Implementing and managing network infrastructure in hybrid and on-prem environments
Managing storage and file services
Who Should Take Windows Server Hybrid Administrator Associate Training?
This Windows Server Hybrid Administrator Associate training is considered associate-level Microsoft training, which means it was designed for systems administrators. This Windows Server skills course is valuable for new IT professionals with at least a year of experience with server administration tools and experienced systems administrators looking to validate their Microsoft skills.

New or aspiring systems administrators. If you're a brand new systems administrator, the AZ-800 is an essential step to earning the Windows Server Hybrid Administrator Associate - a truly excellent choice for your first certification in administration. Preparing for and passing the AZ-800 will teach you all the basics of managing hybrid network environments, which will prove fundamental to the rest of your career.

Experienced systems administrators. If you've already been working as a systems administrator for several years, passing the AZ-800 probably won't be very challenging so long as you're familiar with AD DS, hybrid workloads and virtual machines. This Windows Server Hybrid Administrator Associate training is a way to advance your career in server administration by helping you pass the AZ-800 and help you prove that you know your way around integrating Windows Server environments with Azure services.

Homepage

Code:

https://anonymz.com/?https://www.cbtnuggets.com/it-training/microsoft-azure/windows-server-hybrid-admin-associate

Code:

https://k2s.cc/file/e6bc4d9aa74ed/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part01.rar
https://k2s.cc/file/615472ef9a18f/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part02.rar
https://k2s.cc/file/dd3756ae2bf75/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part03.rar
https://k2s.cc/file/ed075b2ab432c/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part04.rar
https://k2s.cc/file/fef9db927319c/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part05.rar
https://k2s.cc/file/476bdbdbd518b/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part06.rar
https://k2s.cc/file/45672213a1a4d/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part07.rar
https://k2s.cc/file/5c3f0132412bd/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part08.rar
https://k2s.cc/file/21d4b2b6686e5/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part09.rar
https://k2s.cc/file/2715bb350f863/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part10.rar
https://k2s.cc/file/a033603882756/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800___AZ-801).part11.rar

Code:

https://nitroflare.com/view/4ADF86EE13A13F0/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part01.rar
https://nitroflare.com/view/754D89A630DF133/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part02.rar
https://nitroflare.com/view/0CAE11A24629087/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part03.rar
https://nitroflare.com/view/13AA15E654C5115/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part04.rar
https://nitroflare.com/view/B72517BAB70A368/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part05.rar
https://nitroflare.com/view/2DF5C4B9F745FF0/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part06.rar
https://nitroflare.com/view/3E408AA30D5DF12/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part07.rar
https://nitroflare.com/view/F2C9660E1225D18/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part08.rar
https://nitroflare.com/view/0A03AADA8BEAE74/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part09.rar
https://nitroflare.com/view/84B634A58C9CC11/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part10.rar
https://nitroflare.com/view/6A5C5F3861CE0E8/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_%26_AZ-801).part11.rar

Code:

https://rapidgator.net/file/aebaab4b1291f430f80b8ac0a9124526/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part01.rar.html
https://rapidgator.net/file/339e5ebd8cf4eec78c56787d6e020d0f/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part02.rar.html
https://rapidgator.net/file/bfc75c0b6190dc5feeb6a00513089661/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part03.rar.html
https://rapidgator.net/file/76241a0a67733f4d361c4bdc65e7e16b/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part04.rar.html
https://rapidgator.net/file/b586fa9c382bca2c471ad388cf7dc43a/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part05.rar.html
https://rapidgator.net/file/182c1642bdd00d478a7d44328349cc11/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part06.rar.html
https://rapidgator.net/file/d0b91e51909f41162b609452a7dc9e24/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part07.rar.html
https://rapidgator.net/file/30920418c8270c1a13ce7ad216de94f1/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part08.rar.html
https://rapidgator.net/file/d74c53ca8d2cc48c1e9c441e2658511a/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part09.rar.html
https://rapidgator.net/file/d07eb5a7ba1c889651f4bc5629340edd/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part10.rar.html
https://rapidgator.net/file/94be2e6d803a378f9fac7ea174f6c77e/Windows_Server_Hybrid_Administrator_Associate_Certification_Training_(AZ-800_&_AZ-801).part11.rar.html

[Slon]

Keeping Cyber Simple!
Published 08/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 21 lectures (5h 24m) | Size: 6.9 GB


[center]
A "Keep It Simple" approach to Cybersecurity core principles and concepts

[/center]


What you'll learn
Understanding Risk and Risk Management principles
An analogy-based approach to Access Control
A shallow-dive into Attacks & Countermeasures
Core principles of Computer Hardware, Operating Systems, Virtualization and Cloud Computing from a security perspective
A look into key cybersecurity Policy (NIST-Based)
Exploring Key Cybersecurity Roles and Responsibilities
A really hilarious Risk Management Framework (RMF) vignette (Buying a computer for my Parents)

Requirements
No previous skills, experience or tools required. Simply a willingness to learn and a great appetite for knowledge.

Description
This is a fun and probably a different type of cybersecurity course that you typically see in online venues.

These lessons are designed for individuals with little to no experience in Technology or Cybersecurity. I meet so many intelligent individuals every day who would do great in Information Technology or Cybersecurity career fields. However, they are shell-shocked by all the geeky terminology and jargon we use.

My goal in developing these series of courses is to use common analogies to explain more complex skills. Hence, the slogan you will see in these lessons "There is nothing New under the Sun"

I employ several hilarious analogies and vignettes such as "Buying my parents a new computer" to show how the 6-step Risk Management Framework (RMF) is used to "Aida's Kitchen" which explains the inter-workings of computer hardware. Managing risk is something that every human on the plant does daily. Cybersecurity is not just a bunch of technical jargon; it is really a time-tested method of managing security risk.

If you are looking for someone with an accent teaching a lot of high-tech jargon, this is NOT the course for you. However, if you are looking for a course to help you understand the core tenets of Cybersecurity, then I think you will enjoy the journey as we Keep Cyber Simple!

Who this course is for
These courses are designed for individuals with little to no experience in Technology or Cybersecurity.

Code:

https://anonymz.com/?https://www.udemy.com/course/keep_cyber_simple/

Code:

https://rapidgator.net/file/44d930c1f0ac1ba7ed8164429965e87c/Keeping_Cyber_Simple.part1.rar
https://rapidgator.net/file/ba5ed3ab3c46cf90e24d8a2cbb462cfb/Keeping_Cyber_Simple.part2.rar

Code:

https://k2s.cc/file/1e6dae2ce6099/Keeping_Cyber_Simple.part1.rar
https://k2s.cc/file/113a6faa1d2e0/Keeping_Cyber_Simple.part2.rar

Code:

https://nitroflare.com/view/F6C17263E7C67B5/Keeping_Cyber_Simple.part1.rar
https://nitroflare.com/view/DC44FEACCE49817/Keeping_Cyber_Simple.part2.rar