This book tries to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning.
It will set you up with a Python programming environment if you don’t have one already, then provide you with a conceptual understanding of machine learning in the chapter "An Introduction to Machine Learning." What follows next are three Python machine learning projects. They will help you create a machine learning classifier, build a neural network to recognize handwritten digits, and give you a background in deep reinforcement learning through building a bot for Atari.
|Pages :||/Paperback N/A|
|Size :||PDF (135 Pages), ePub, and Mobi (Kindle)|
|File type :|
|License:||CC BY-NC-SA 4.0|
|Author(s):||Brian Boucheron, Lisa Tagliaferri|
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