The Hundred-Page Machine Learning Book

by Andriy Burkov

Distills the essential concepts of machine learning—from fundamental algorithms through neural networks and ensemble methods—into a concise, mathematically grounded introduction that balances theory with practical understanding in just 100 pages.

• Chapter 1 Introduction
• Chapter 2 Notation and Definitions
• Chapter 3 Fundamental Algorithms
• Chapter 4 Anatomy of a Learning Algorithm
• Chapter 5 Basic Practice
• Chapter 6 Neural Networks and Deep Learning
• Chapter 7 Problems and Solutions
• Chapter 8 Advanced Practice
• Chapter 9 Unsupervised Learning
• Chapter 10 Other Forms of Learning
• Chapter 11 Conclusion