Machine learning is rapidly becoming a fixture in our data-driven world. It is relied upon in
fields as diverse as robotics and medicine to retail and publishing. In this book, you will
learn how to build real-world machine learning applications step by step.
Working through easy-to-understand projects, you will learn how to process various types
of data and how and when to apply different machine learning techniques such as
supervised or unsupervised learning.
Each of the projects in this book provides educational as well as practical value. For
example, you'll learn how to use clustering techniques to find bargain airfares and how to
use linear regression to find a cheap apartment. This book will teach you how to use
machine learning to collect, analyze, and act on massive quantities of data in an
approachable, no-nonsense manner.
