Machine Learning For Dummies. John Paul Mueller
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Machine Learning For Dummies®, 2nd Edition
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Published simultaneously in Canada
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Library of Congress Control Number: 2020952332
ISBN: 978-1-119-72401-8
ISBN 978-1-119-72406-3 (ebk); ISBN 978-1-119-72405-6 (ebk)
Machine Learning For Dummies®
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Table of Contents
1 Cover
4 Introduction About This Book Foolish Assumptions Icons Used in This Book Beyond the Book Where to Go from Here
5 Part 1: Introducing How Machines Learn Chapter 1: Getting the Real Story about AI Moving beyond the Hype Dreaming of Electric Sheep Overcoming AI Fantasies Considering the Relationship between AI and Machine Learning Considering AI and Machine Learning Specifications Defining the Divide between Art and Engineering Predicting the Next AI Winter Chapter 2: Learning in the Age of Big Data Considering the Machine Learning Essentials Defining Big Data Considering the Sources of Big Data Specifying the Role of Statistics in Machine Learning Understanding the Role of Algorithms Defining What Training Means Chapter 3: Having a Glance at the Future Creating Useful Technologies for the Future Discovering the New Work Opportunities with Machine Learning Avoiding the Potential Pitfalls of Future Technologies
6
Part 2: Preparing Your Learning Tools
Chapter 4: Installing a Python Distribution
Using Anaconda for Machine Learning
Installing Anaconda on Linux
Installing Anaconda on Mac OS X
Installing