Summary
The purpose of this book is to guide you step by step through the entire process of working with various machine learning algorithms. First you will learn the basics of working with Python in order to acquire the basic knowledge needed to understand machine learning. In each chapter you will learn a great deal of theory backed up by practical examples. Once you have the basics down, you will get to the core of machine learning algorithms and techniques.
Learning machine learning and working with training algorithms doesn’t have to be a complex journey.
Explore how to work with the most important machine learning algorithms such as support vector machines and decision trees.