Foreword

As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions without final 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 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.

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 do.co/w4do. DigitalOcean offers payment to authors and provides a matching donation to tech-focused nonprofits.