Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) pdf epub mobi txt 电子书下载 2024

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Carl Edward Rasmussen

The MIT Press

2005-12-01

244

USD 36.00

Hardcover

Adaptive Computation and Machine Learning

9780262182539

图书标签: 机器学习 GaussianProcess 高斯过程 MachineLearning 统计学习 Gaussian ML 人工智能

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发表于2024-11-22

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) pdf epub mobi txt 电子书下载 2024

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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) 下载 mobi epub pdf txt 电子书

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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) pdf epub mobi txt 电子书下载

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用户评价

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大概是很全面的一本圣经了吧，很多细节没介绍全，但是内容全面覆盖。最新的文章都要引用这里的东西。

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只读了regression那章

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因为科研要用看了一半这辈子都不会忘记GPR了...

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比起PRML实用性很强，看起来思路也很清晰有条理。

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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

读后感

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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) epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) epub 下载 mobi 下载 pdf 下载 txt 电子书 下载 2024

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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) pdf epub mobi txt 电子书下载 2024

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024