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Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series) - Tapa dura

Murphy, Kevin P.

 
9780262048439: Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series)
Tapa dura
ISBN 10: 0262048434 ISBN 13: 9780262048439
Editorial: The MIT Press, 2023

Sinopsis

An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.

An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning.

  • Covers generation of high dimensional outputs, such as images, text, and graphs 
  • Discusses methods for discovering insights about data, based on latent variable models 
  • Considers training and testing under different distributions
  • Explores how to use probabilistic models and inference for causal inference and decision making
  • Features online Python code accompaniment 

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Kevin P. Murphy is a Research Scientist at Google in Mountain View, California, where he works on artificial intelligence, machine learning, and Bayesian modeling.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
The MIT Press
Año de publicación
2023
Idioma
Inglés
ISBN 10 
0262048434
ISBN 13 
9780262048439
Encuadernación
Tapa dura
Número de páginas
1360
Contacto del fabricante
no disponible
Persona responsable
Easy Access System Europe
gpsr.requests@easproject.com

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