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Machine Learning E-book Collections

Posted By : neobot | Date : 31 Oct 2008 02:04:00 | Comments : 3 |
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Machine Learning E-book Collections
-- updated on daily basis--


I would like to share good books in machine learning and related area to anyone interested in this area.
Actually there are a lot of classic textbooks in this area, so I will keep posting the books on daily basis. Each day you will find this post updated.
You guys can make any request. If I have it, I will post it.

expected level of readers: from absolute beginner to experienced researcher

These are books pertaining to machine learning, artificial intelligence, machine intelligence, pattern classification, pattern recognition, statistical learning, graphical models, computer vision, image processing, mathematics for intelligence system.

Note: If you really like the book, please buy the book.


Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop
Publisher: Springer | Pages: 738 | 2007-10-01 | ISBN 0387310738 | PDF | 9.5 MB
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Statistical Learning Theory by Vladimir N. Vapnik
Publisher: Wiley-Interscience | Pages: 736 | 1998-09-16 | ISBN 0471030031 | PDF | 10 MB
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics)
by Trevor Hastie, Robert Tibshirani, and Jerome Friedman

Publisher: Springer-Verlag | Pages: 744 | 2008-12 | ISBN 0387848576 | PDF | 16 MB
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The Nature of Statistical Learning Theory (Information Science and Statistics) by Vladimir Vapnik
Publisher: Springer | Pages: 314 | 1999-11-19 | ISBN 0387987800 | DJVU | 2 MB
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Pattern Classification (2nd Edition) by Richard O. Duda, Peter E. Hart, and David G. Stork
Publisher: Wiley-Interscience | Pages: 654 | 2000-10 | ISBN 0471056693 | PDF | 13.9 MB
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Pattern Recognition, Second Edition by Sergios Theodoridis (Author), Konstantinos Koutroumbas (Author)
Publisher: Academic Press | Pages: 640 | 2003-02 | ISBN 0126858756 | PDF | 18 MB

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Information Theory, Inference & Learning Algorithms by David J. C. MacKay
Publisher: Cambridge University Press | Pages: 550 | 2002-06-15 | ISBN 0521642981 | PDF | 11 MB

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Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
by Thomas M. Cover (Author), Joy A. Thomas (Author)

Publisher: Wiley-Interscience | Pages: 776 | 2006-07-18 | ISBN 0471241954 | PDF | 32 MB

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Principal Manifolds for Data Visualization and Dimension Reduction (Lecture Notes in Computational Science and Engineering)
by Alexander N. Gorban (Editor), Balázs Kégl (Editor), Donald C. Wunsch (Editor), Andrei Zinovyev (Editor)

Publisher: Springer | Pages: 340 | 2007-10-24 | ISBN 3540737499 | PDF | 12 MB

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Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
by Lise Getoor (Editor), Ben Taskar (Editor)

Publisher: The MIT Press | Pages: 580 | November 30, 2007 | ISBN 0262072882 | PDF | 5.6 MB

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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
by Ian H. Witten (Author), Eibe Frank (Author)

Publisher: Morgan Kaufmann | Pages: 560 | June 10, 2005 | ISBN 0120884070 | PDF | 8 MB

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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
by Richard S. Sutton (Author), Andrew G. Barto (Author)

Publisher: The MIT Press | Pages: 322 | 03/01/1998 | ISBN 0262193981 | PDF | 3.7 MB

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Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
by Huan Liu (Editor), Hiroshi Motoda (Editor)

Publisher: Chapman & Hall/CRC | Pages: 440 | 10/29/2007 | ISBN 1584888784 | PDF | 3 MB

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Finite Mixture Models (Wiley Series in Probability and Statistics)
by Geoffrey McLachlan (Author), David Peel (Author)

Publisher: Wiley-Interscience | Pages: 456 | 10/02/2002 | ISBN 0471006262 | PDF | 18 MB

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Bayesian Approach to Image Interpretation (The Kluwer International Series in Engineering and Computer Science, Volume 616) (The Springer International Series in Engineering and Computer Science) by Sunil K. Kopparapu (Author), Uday B. Desai (Author)
Publisher: Springer | Pages: 144 | 07/01/2001 | ISBN 0792373723 | djvu | 1.4 MB

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Semisupervised Learning for Computational Linguistics (Chapman & Hall/Crc Computer Science & Data Analysis)
by Steven Abney (Author)

Publisher: Chapman & Hall/CRC | Pages: 320 | Sep 17, 2007 | ISBN 1584885599 | PDF | 5 MB

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Computer Vision: A Modern Approach by David A. Forsyth (Author), Jean Ponce (Author)
Publisher: Prentice Hall | Pages: 693 | Aug 24, 2002 | ISBN 0130851981 | djvu | 60 MB

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Posted By: lonerforyou Date: 09 Apr 2009 12:51:52
Great share but
"This file is neither allocated to a Premium Account, or a Collector's Account, and can therefore only be downloaded 10 times.

This limit is reached.

To download this file, the uploader either needs to transfer this file into his/her Collector's Account, or upload the file again. The file can later be moved to a Collector's Account. The uploader just needs to click the delete link of the file to get further information."
Posted By: freque Date: 13 May 2009 19:04:45
too bad that the links are down! this really is a great collection.
Posted By: zbigniewas Date: 22 Aug 2009 14:42:24
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition :

http://rs485.rapidshare.com/files/157275859/The_Elements_of_Statistical_Learning_-_Data_Mining_Inference_and_Prediction__netbks.com

Rename file to *.rar
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