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ISBN 978-0-9997730-2-4

Python Machine Learning Projects

Written by Lisa Tagliaferri, Michelle Morales, Ellie Birbeck, and

Alvin Wan, with editing by Brian Hogan and Mark Drake

DigitalOcean, New York City, New York, USA

Python Machine Learning Projects

1. Foreword

2. Setting Up a Python Programming Environment

3. An Introduction to Machine Learning

4. How To Build a Machine Learning Classi?er in Python with Scikitlearn

5. How To Build a Neural Network to Recognize Handwritten Digits with

TensorFlow

6. Bias-Variance for Deep Reinforcement Learning: How To Build a Bot

for Atari with OpenAI Gym

Foreword

As machine learning is increasingly leveraged to ?nd patterns, conduct

analysis, and make decisions without ?nal input from humans, it is of

equal importance to not only provide resources to advance algorithms

and methodologies, but to also invest in bringing more stakeholders into

the fold. This book of Python projects in machine learning tries to do just

that: to equip the developers of today and tomorrow with tools they can

use to better understand, evaluate, and shape machine learning to help

ensure that it is serving us all.

This book will set you up with a Python programming environment if

y o u 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 classi?er,

build a neural network to recognize handwritten digits, and give you a

background in deep reinforcement learning through building a bot for

Atari.

These chapters originally appeared as articles on DigitalOcean

Community, written by members of the international software developer

community. If you are interested in contributing to this knowledge base,

consider proposing a tutorial to the Write for DOnations program at

w4do. DigitalOcean offers payment to authors and provides a

matching donation to tech-focused nonpro?ts.

Other Books in this Series

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