Value: $153.26 - $80.13
(as of Aug 09, 2025 11:02:30 UTC – Particulars)
That is the primary textbook on sample recognition to current the Bayesian viewpoint. The guide presents approximate inference algorithms that allow quick approximate solutions in conditions the place precise solutions should not possible. It makes use of graphical fashions to explain chance distributions when no different books apply graphical fashions to machine studying. No earlier information of sample recognition or machine studying ideas is assumed. Familiarity with multivariate calculus and primary linear algebra is required, and a few expertise in the usage of possibilities can be useful although not important because the guide features a self-contained introduction to primary chance concept.
Writer : Springer/Sci-Tech/Commerce
Publication date : Aug. 17 2006
Version : 2006. Corr. 2nd Printing 2011 ed.
Language : English
Print size : 778 pages
ISBN-10 : 0387310738
ISBN-13 : 978-0387310732
Merchandise weight : 1.05 kg
Dimensions : 19.56 x 3.3 x 25.91 cm
Greatest Sellers Rank: #153,366 in Books (See High 100 in Books) #5 in AI Machine Imaginative and prescient #29 in Laptop Imaginative and prescient & Sample Recognition #35 in AI Laptop Arithmetic
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