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
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 classifier,
build a neural network to recognize handwritten digits, and give you a
background in deep reinforcement learning through building a bot for
Atari.