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A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines.
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. In particular, Bayesian methods have grown from a... Læs mere
The focus of this book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework... Læs mere
Look – anyone who invents something really great has a moment where they think it's going to destroy the world. For the first time in her life, Fin is off the network.
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition.
Aimed at undergrads, the text guides students through the principles of machine learning in an approachable manner without sacrificing... Læs mere
An advanced introduction to string diagrams and graph languages for higher-order computation, enhancing clarity and structure in functional programming. This title is also available as open access on Cambridge Core.
The Long Game is a wraparound ‘no nonsense’ guide to the technical, creative, and business skills needed to succeed in the game music industry.
"AI and IoT in Medicine: Pioneering Smart Technologies in Specialized Healthcare" aims to inform and educate readers about... Læs mere