The MIT Press and Ethem Alpaydin provide highly valuable, free open-access companion materials online. These often include comprehensive lecture slides (PowerPoint format) for every chapter and errata sheets, which are excellent study aids even if you are using a physical copy of the book.

Alpaydin provides a mathematically elegant explanation of Support Vector Machines (SVMs). He explains the "kernel trick," which projects non-linearly separable data into higher-dimensional spaces where it can be cleanly split. 6. Reinforcement Learning

Deeper mathematical insights into modern deep network optimization, regularization techniques (like dropout), and specialized layers.