11-05-2020, 10:32 AM
pdf, azw | 6.1 MB | English | Kalmström, Kate & Kalmström, Peter | 2019 | Page: 232
Book Description :
[b]★ ★ Buy the Paperback Version of this Book and Get the Kindle Book version for FREE ★ ★[/b]
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[b]Machine Learning (Update Edition 2019-2020) This Guide is a branch of artificial intelligence, This Machine Learning Series idea is relatively new.[/b]
A science that researches machines to acquire new knowledge and new skills and to identify existing knowledge. The best way to understand the potential of machine learning is to explore how people and companies are currently taking advantage of it.
If you are one of the almost 400 million people with machine learning worldwide, This book offers a method to Techniques! Not every machine learning model uses the same techniques, so training will depend on your approach.
[b]Let's consider a few examples:
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- [b]Psychology of learning
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- [b]Machine learning in practice
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- [b]Reinforcement learning
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- [b]Types of machine learning
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- [b]Learning by reinforcement
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- [b]Types of reinforcement
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- [b]The different types of learning
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This guidebook is going to take some time to explore machine learning, and what it is all about. There are so many different aspects of machine learning and how to make it work for your needs, and all of it is found in this guidebook.
[b]Some of the different topics that you will be able to learn about inside include:
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- [b]Neural networks
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- [b]Historical background[/b]
- [b]Why use neural networks?[/b]
- [b]Tasks of neural networks[/b]
- [b]Deep learning[/b]
- [b]Algorithms[/b]
- [b]Starting with python[/b]
- [b]Basic types of data
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Get access to free software and data sets so you can try out your very own machine learning software. See how advanced machine learning will impact our world in the future!
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Download link Here
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