Understanding Machine Learning: From Theory to Algorithms – Shai Shalev-Shwartz
$54.11
In Stock
A rigorous textbook that bridges machine learning theory and practice, covering mathematical foundations, key algorithms, and the principles behind modern learning systems.
- ✅ Provides a formal introduction to the theory of machine learning
- ✅ Covers PAC learning, VC dimension, and generalization bounds
- ✅ Explains algorithms like SVMs, boosting, and neural networks
- ✅ Includes mathematical proofs and algorithmic derivations