pdf, azw | 6.1 MB | English | Kalmström, Kate & Kalmström, Peter | 2019 | Page: 232
Book Description :
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Machine Learning (Update Edition 2019-2020) This Guide is a branch of artificial intelligence, This Machine Learning Series idea is relatively new.
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.
Let's consider a few examples:
Psychology of learning
Machine learning in practice
Reinforcement learning
Types of machine learning
Learning by reinforcement
Types of reinforcement
The different types of learning
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.
Some of the different topics that you will be able to learn about inside include:
Neural networks
Historical background
Why use neural networks?
Tasks of neural networks
Deep learning
Algorithms
Starting with python
Basic types of data
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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