Якщо любиш Machine learning

Kevin P. Murphy
"This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep lear…
Ось що почитати далі

Introduction to machine learning
Ethem Alpaydin

The Alignment Problem
Brian Christian

Mathematics for Machine Learning
Marc Peter Deisenroth

An Investigation of the Laws of Thought (Barnes & Noble)
George Boole

Probability, random variables, and random signal principles
Peyton Z. Peebles









