THE MACHINE LEARNING GYM

1 Machine Learning
2 Linear Regression
3 Classification
4 Kernel Methods
5 Unsupervised Learning
6 Bias-Variance Dilemma
7 Model Selection
8 Learning Theory
9 Markov Decision Processes
10 Reinforcement Learning
11 Multi-Armed Bandits
12 Recap Exercises

This book of exercises in Machine Learning is the product of eight years of experience in teaching exercise classes at Politecnico di Milano. It is designed to be a comprehensive and practical resource for a diverse audience, including students and professionals seeking to enhance their skills in this rapidly evolving field. The structure of the book is organized into chapters, each focusing on a specific topic. At the beginning of each chapter, the reader will find a Practical Session that introduces the key concepts relevant to the topic and complements them with code examples in Python. Each exercise comes with a detailed solution that guides the reader through the process and methodology behind it. 

Alberto Maria Metelli is an Assistant Professor of Information Processing Systems at Politecnico di Milano.
Francesco Trovò is an Assistant Professor of Information Processing Systems at Politecnico di Milano.