📘 Pen and Paper Exercises in Machine Learning — Free PDF

Strengthen your mathematical understanding of Machine Learning with 211 pages of pen-and-paper exercises and detailed solutions by Michael U. Gutmann.

Topics include:

Linear Algebra
Optimization
Graphical Models
Factor Graphs & Message Passing
Hidden Markov Models
Independent Component Analysis
Sampling & Monte Carlo Integration
Variational Inference

🔗 Download the Free PDF: https://www.clcoding.com/2026/08/pen-and-paper-exercises-in-machine.html

Perfect for ML learners who want to understand the mathematics behind algorithms—not just use Python libraries.