Probabilistic Graphical Models 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Daphne Koller 作者

The MIT Press

譯者

2009-7-31 出版日期

1280 頁數

USD 120.00 價格

Hardcover

Adaptive Computation and Machine Learning 叢書系列

9780262013192 圖書編碼

Probabilistic Graphical Models 在線電子書圖書標籤: 機器學習概率圖模型 Graph-Model 數學 MachineLearning 計算機數據挖掘算法

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發表於2024-06-01

Probabilistic Graphical Models 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Probabilistic Graphical Models 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Probabilistic Graphical Models 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Probabilistic Graphical Models 在線電子書用戶評價

評分☆☆☆☆☆

真難，謝謝哦

評分☆☆☆☆☆

errata is a bit long...囧

評分☆☆☆☆☆

深入淺齣。可惜齣得太晚瞭，我花瞭三四年時間讀瞭無數的書，tutorial，論文，總算把相關內容搞清楚瞭。如果以前有這本書，可能隻讀這一本就好瞭。

評分☆☆☆☆☆

the book is glowing with intelligence, and still after two years

評分☆☆☆☆☆

救急囫圇吞棗一下，後來已經改變思路瞭XD很全麵的內容，有機會再二周目

Probabilistic Graphical Models 在線電子書著者簡介

Probabilistic Graphical Models 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Probabilistic Graphical Models 在線電子書圖書描述

Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

Probabilistic Graphical Models 在線電子書下載 mobi epub pdf txt 在線電子書下載

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