: Unlike "cookbook" style guides, this text emphasizes the why behind algorithms, grounding them in optimization and statistical theory.
The aims to unify diverse strands of AI research. Other notable titles in this series include Kevin Murphy's Machine Learning: A Probabilistic Perspective and Elad Hazan's Introduction to Online Convex Optimization . Deep learning: adaptive computation and machine...
Introduces fundamental machine learning concepts like capacity, overfitting, and regularization. : Unlike "cookbook" style guides, this text emphasizes