{"product_id":"probabilistic-machine-learning-advanced-topics","title":"Probabilistic Machine Learning: Advanced Topics","description":"\u003cp\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Murphy, Kevin P.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBrand:\u003c\/b\u003e MIT Press\u003c\/p\u003e\u003cp\u003e\u003cb\u003eColor:\u003c\/b\u003e Navy\u003c\/p\u003e\u003cp\u003e\u003cb\u003eBinding:\u003c\/b\u003e hardcover\u003c\/p\u003e\u003cp\u003e\u003cb\u003eNumber Of Pages:\u003c\/b\u003e 1360\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRelease Date:\u003c\/b\u003e 15-08-2023\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDetails:\u003c\/b\u003e 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.\u003cbr\u003e\n\u003cbr\u003e\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.\u003cbr\u003e\n\u003cbr\u003e\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\u003c\/p\u003e\u003cp\u003e\u003cb\u003eEAN:\u003c\/b\u003e 9780262048439\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePackage Dimensions:\u003c\/b\u003e 9.4 x 8.5 x 2.1 inches\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLanguages:\u003c\/b\u003e English\u003c\/p\u003e","brand":"MIT Press","offers":[{"title":"Default Title","offer_id":66569720856880,"sku":"Trans_9780262048439","price":8642.26,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/71F3Gpq0V7L.jpg?v=1776741009","url":"https:\/\/www.retailmaharaj.com\/products\/probabilistic-machine-learning-advanced-topics","provider":"Retail Maharaj","version":"1.0","type":"link"}