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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Kevin P. Murphy




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 | #21473 in Books |  imusti |  2012-08-24 | Original language:English | PDF # 1 |  9.00 x1.38 x8.00l,4.30 | File type: PDF | 1104 pages

 | Mit Press

||345 of 354 people found the following review helpful.| MLAPP and other machine learning textbooks|By Sebastien Bratieres|(Disclaimer: I have worked with a draft of the book and been allowed to use the instructor's review copy for this review. I have bought the book from .co.uk, but apparently this .com review can't be tagged "verified purchase". I don't receive any compensation whatsoever for writing this review. I hope it will| ||An astonishing machine learning book: intuitive, full of examples, fun to read but still comprehensive, strong and deep! A great starting point for any university student -- and a must have for anybody in the field. (Jan Peters, Darmstadt University of

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background mat...

You can specify the type of files you want, for your device.Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)   |  Kevin P. Murphy. I really enjoyed this book and have already told so many people about it!

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