ISBN: 9780262048439 - probabilistic machine learning: advanced topics (adaptive computation and machine learning series) (12 Ergebnisse)

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Hardcover. Zustand: Brand New. 1352 pages. 9.50x8.50x2.25 inches. In Stock.

Zustand: NEW.

Zustand: New. In English.

Zustand: New. Kevin P. Murphy is a Research Scientist at Google in Mountain View, California, where he works on artificial intelligence, machine learning, and Bayesian modeling.An advanced book for researchers and graduate students working in machine learning and .

Zustand: New. 2023. Hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Neuware - 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.…

Buch. Zustand: Neu. Probabilistic Machine Learning | Advanced Topics | Kevin P. Murphy | Buch | Adaptive Computation and Machine Learning series | Einband - fest (Hardcover) | Englisch | 2023 | MIT Press Ltd | EAN 9780262048439 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.…

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…