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


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

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Carl Edward Rasmussen
The MIT Press
2005-12-01
244
USD 36.00
Hardcover
Adaptive Computation and Machine Learning
9780262182539

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


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发表于2024-11-05

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

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

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



圖書描述

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) 下載 mobi epub pdf txt 電子書

著者簡介


圖書目錄


Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) pdf epub mobi txt 電子書 下載
想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

用戶評價

評分

have a go with it if you are really interested in predicting the unknown.=]Need any examples? well, your longevity,stock market,weather forecast.....countless really..=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

最好的GP教材

評分

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

評分

最好的GP教材

讀後感

評分

内容不多,毕竟只有薄薄一本,有一定的实际参考价值,是一本还可以的入门书籍。 如果本身对于Kernel的方法以及统计的学习方法有一定的理解的话,看这个会觉得有些简单了。 和Bishop的书相比,内容和语言上,个人觉得还有一定的差距。

評分

内容不多,毕竟只有薄薄一本,有一定的实际参考价值,是一本还可以的入门书籍。 如果本身对于Kernel的方法以及统计的学习方法有一定的理解的话,看这个会觉得有些简单了。 和Bishop的书相比,内容和语言上,个人觉得还有一定的差距。

評分

内容不多,毕竟只有薄薄一本,有一定的实际参考价值,是一本还可以的入门书籍。 如果本身对于Kernel的方法以及统计的学习方法有一定的理解的话,看这个会觉得有些简单了。 和Bishop的书相比,内容和语言上,个人觉得还有一定的差距。

評分

内容不多,毕竟只有薄薄一本,有一定的实际参考价值,是一本还可以的入门书籍。 如果本身对于Kernel的方法以及统计的学习方法有一定的理解的话,看这个会觉得有些简单了。 和Bishop的书相比,内容和语言上,个人觉得还有一定的差距。

評分

内容不多,毕竟只有薄薄一本,有一定的实际参考价值,是一本还可以的入门书籍。 如果本身对于Kernel的方法以及统计的学习方法有一定的理解的话,看这个会觉得有些简单了。 和Bishop的书相比,内容和语言上,个人觉得还有一定的差距。

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


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