"Pattern Recognition and machine learning" resources

"Pattern Recognition and machine learning" Resources

Bishop's "Pattern Recognition and machine learning" is the classic textbook in this field, this article has collected the relevant tutorials and reading notes for comparative learning, the main search resources include CSDN:HTTP://DOWNLOAD.CSDN.NET/SEARCH?Q=PRML, Memect:http://ml.memect.com/search/?q=prml. The other is Baidu and Google.

1: "Pattern Recognition and machine learning"

Author home page. Prml author Christopher M. Bishop published samples, errata, exercise answers, handouts and other materials,

http://research.microsoft.com/en-us/um/people/cmbishop/prml/

2: Video Course "machine learning and probabilistic mapping model"

Buffalo University Professor Sargur Srihari's "machine learning and probabilistic mapping Model" video course:

http://www.cedar.buffalo.edu/~srihari/CSE574/

Reference books are classic "Pattern Recognition and machine learning" by Chris Bishop (Springer 2006) and "Probabilistic Graphical Models" by Daphne Koller and Nir Friedman (MIT Press 2009)

3:chillyrain ' s Chinese notes

PRML notes Update to section 3.4

Http://chillyrain.is-programmer.com/categories/7613/posts

4:PRML Reading Book

Collection Print Version: Http://pan.baidu.com/s/1o6sxLFk

Web version: http://blog.csdn.net/nietzsche2015

5:jian Xiao's study notes

Notes on Pattern recognition and machine learning (Bishop) Version 1.0 Jian Xiao

PRML notes-notes on the Pattern recognition and machine learning

6:bin's Column

Summary of some chapters in Chinese

Http://www.cnblogs.com/xbinworld/category/337861.html

7: The Lost PRML Chinese translation manuscript

The statement on the PRML Chinese translation of the online circulation

http://weibo.com/p/1001603885799136480788

Statement:

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"Pattern Recognition and machine learning" resources