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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) 2024 pdf epub mobi 電子書下載

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)

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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) pdf epub mobi 著者簡介

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Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics.The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) 2024 pdf epub mobi 電子書下載

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發表於2024-12-23

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) 2024 pdf epub mobi 電子書下載

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) 2024 pdf epub mobi 電子書下載

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) 2024 pdf epub mobi 電子書下載

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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) pdf epub mobi 讀後感

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內容不多，畢竟隻有薄薄一本，有一定的實際參考價值，是一本還可以的入門書籍。如果本身對於Kernel的方法以及統計的學習方法有一定的理解的話，看這個會覺得有些簡單瞭。和Bishop的書相比，內容和語言上，個人覺得還有一定的差距。

評分☆☆☆☆☆

內容不多，畢竟隻有薄薄一本，有一定的實際參考價值，是一本還可以的入門書籍。如果本身對於Kernel的方法以及統計的學習方法有一定的理解的話，看這個會覺得有些簡單瞭。和Bishop的書相比，內容和語言上，個人覺得還有一定的差距。

評分☆☆☆☆☆

內容不多，畢竟隻有薄薄一本，有一定的實際參考價值，是一本還可以的入門書籍。如果本身對於Kernel的方法以及統計的學習方法有一定的理解的話，看這個會覺得有些簡單瞭。和Bishop的書相比，內容和語言上，個人覺得還有一定的差距。

評分☆☆☆☆☆

內容不多，畢竟隻有薄薄一本，有一定的實際參考價值，是一本還可以的入門書籍。如果本身對於Kernel的方法以及統計的學習方法有一定的理解的話，看這個會覺得有些簡單瞭。和Bishop的書相比，內容和語言上，個人覺得還有一定的差距。

評分☆☆☆☆☆

內容不多，畢竟隻有薄薄一本，有一定的實際參考價值，是一本還可以的入門書籍。如果本身對於Kernel的方法以及統計的學習方法有一定的理解的話，看這個會覺得有些簡單瞭。和Bishop的書相比，內容和語言上，個人覺得還有一定的差距。

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出版者:The MIT Press

作者:Carl Edward Rasmussen

出品人:

頁數:244

譯者:

出版時間:2005-12-01

價格:USD 36.00

裝幀:Hardcover

isbn號碼:9780262182539

叢書系列:Adaptive Computation and Machine Learning

圖書標籤: 機器學習 GaussianProcess 高斯過程 MachineLearning 統計學習 Gaussian ML 人工智能

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) 2024 pdf epub mobi 電子書下載

想要找書就要到本本書屋

onlinetoolsland.com

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) pdf epub mobi 用戶評價

評分☆☆☆☆☆

比起PRML實用性很強，看起來思路也很清晰有條理。

評分☆☆☆☆☆

"Engineers doing statistics by another name." -- BDR And I can't agree more...:P

評分☆☆☆☆☆

個彆步驟跳的有點狠,概率論基礎差的建議先好好復習以下多元的高斯分布

評分☆☆☆☆☆

"Engineers doing statistics by another name." -- BDR And I can't agree more...:P

評分☆☆☆☆☆

隻讀瞭regression那章

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) 2024 pdf epub mobi 電子書下載

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