Probabilistic Machine Learning: Advanced Topics - Hardcover
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Availability:Out of StockContributor:Kevin P. MurphySeries:Adaptive Computation and Machine LearningPublish date:2023-08-15Pages:1360
Language:EnglishPublisher:MIT PressISBN-13:9780262048439ISBN-10:262048434UPC:9780262048439Book Category:ComputersBook Subcategory:Data Science, Computer Science, Artificial IntelligenceBook Topic:Machine LearningSize:9.06 x 8.27 x 2.05 inchesWeight:5.4256Product ID:SCRQADX4F3
Probabilistic Machine Learning: Advanced Topics
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...
Series: Adaptive Computation and Machine Learning
Language:EnglishPublisher:MIT PressISBN-13:9780262048439ISBN-10:262048434UPC:9780262048439Book Category:ComputersBook Subcategory:Data Science, Computer Science, Artificial IntelligenceBook Topic:Machine LearningSize:9.06 x 8.27 x 2.05 inchesWeight:5.4256Product ID:SCRQADX4F3
Kevin P. Murphy is a Research Scientist at Google in Mountain View, California, where he works on artificial intelligence, machine learning, and Bayesian modeling.
Publisher: MIT Press
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