This is not a traditional book. The book has a lot of code. If you don't like the code first approach do not buy this book. Making code available on Github is n

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei

This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp

Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning.The first fi

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intellig