Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series)
Description:
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.\nAn 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.\nCovers 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
Best prices to buy, sell, or rent ISBN 9780262048439
Frequently Asked Questions about Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series)
The price for the book starts from $106.79 on Amazon and is available from 37 sellers at the moment.
At BookScouter, the prices for the book start at $67.68. Feel free to explore the offers for the book in used or new condition from various booksellers, aggregated on our website.
If you’re interested in selling back the Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series) book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.
As for the Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series) book, the best buyback offer comes from and is $ for the book in good condition.
The Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series) book is in average demand now as the rank for the book is 78,433 at the moment. It's quite a low rank, and the book has no significant sales on Amazon. A rank below 100,000 means roughly 1 book sale per day. At the same time, a book which is 5 years old, and still in the top 100k most of the time - that’s a book doing well.
The highest price to sell back the Probabilistic Machine Learning: Advanced Topics (Adaptive Computation and Machine Learning series) book within the last three months was on January 09 and it was $70.82.