Probabilistic Machine Learning: Advanced Topics 概率机器学习进阶 Kevin P. Murphy 精装

书籍内容简介可联系客服查阅，查书找书开票同样可以联系客服

1358 1358 九五品

仅1件

广东广州

认证卖家担保交易快速发货售后保障

作者Kevin P. Murphy

出版社The MIT Press

ISBN9780262048439

出版时间2016-06

装帧精装

定价1358元

货号YB-75872

上书时间2024-07-08

已实名已认证进店收藏店铺

商品描述: 商品简介
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