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.

• Introduction
• Notation and Definitions
• Fundamental Algorithms
• Anatomy of a Learning Algorithm
• Basic Practice
• Neural Networks and Deep Learning
• Problems and Solutions
• Advanced Practice
• Unsupervised Learning
• Other Forms of Learning
• Conclusion