This is the first textbook on pattern recognition to present the Bayesian viewpoint. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible, and it uses graphical models to describe probability distributions.
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This is the first textbook on pattern recognition to present the Bayesian viewpoint. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible, and it uses graphical models to describe probability distributions.
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Add this copy of Pattern Recognition and Machine Learning (Information to cart. $46.81, fair condition, Sold by Goodwill of Orange County rated 4.0 out of 5 stars, ships from Santa Ana, CA, UNITED STATES, published 2006 by Springer.
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Add this copy of Pattern Recognition and Machine Learning (Information to cart. $49.03, good condition, Sold by Indiana Book Company rated 5.0 out of 5 stars, ships from Marion, IN, UNITED STATES, published 2006 by Springer.
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Good. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Very Good. 0387310738. This book is in very good condition; no remainder marks. It does have some cover shelfwear and corner wear. Inside pages are clean.; Information Science and Statistics; Height: 10.2 Inches, Leng; 738 pages.
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738 pp., Hardcover, NEW! ! . -If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Fine. Trade paperback (US). Glued binding. 778 p. Contains: Unspecified. Information Science and Statistics. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
Fast shipping, good brand new book and good print. Price is reasonable.
Dxxxx
Oct 30, 2008
As good as it gets
This book makes for terrible machine learning study material -- it's entirely equations, with no intuitive explanations or even real-life examples. It might be a good reference for someone who already has an intuitive understanding of the algorithms. Unfortunately, I've done some research and haven't found any books that are better overall. Tom Mitchell's book has a far better explanation of traditional machine learning methods, but it doesn't cover SVMs, which should be the meat of any modern machine learning course. I'd tell a friend to buy Mitchell's book instead, then using various papers, the site svms.org, and the tutorial by Burges to learn SVMs.
