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This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
About the Author: Chris Bishop is a Microsoft Distinguished Scientist and the Laboratory Director at Microsoft Research Cambridge. He is also Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was elected Fellow of the Royal Academy of Engineering, and in 2007 he was elected Fellow of the Royal Society of Edinburgh.
Title: Pattern Recognition and Machine Learning (...
Publisher: Springer
Publication Date: 2006
Binding: hardcover
Condition: Good
Seller: thebookforest.com, San Rafael, CA, U.S.A.
Condition: Good. LIght underlining and highlighting, mild shelf wear. Used - Good. Seller Inventory # BAY18-00072
Seller: HPB-Red, Dallas, TX, U.S.A.
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_452452669
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. Seller Inventory # 0387310738-7-1-13
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Seller Inventory # 00097129033
Seller: Recycle Bookstore, San Jose, CA, U.S.A.
Hardcover. Condition: Very Good +. Hardcover. Minor rubbing and shelfwear to cover, but otherwise sharp, attractive copy with clean, unmarked pages with good examples, equations, and descriptions throughout. Binding is solid. Seller Inventory # 1037390
Seller: Textbooks_Source, Columbia, MO, U.S.A.
hardcover. Condition: 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). Seller Inventory # 000785971U
Seller: medimops, Berlin, Germany
Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Seller Inventory # M00387310738-G
Quantity: 1 available
Seller: Textbooks_Source, Columbia, MO, U.S.A.
hardcover. Condition: New. Ships in a BOX from Central Missouri! Ships same or next business day.�UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 000785971N
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Seller Inventory # 4240172-5
Seller: Studibuch, Stuttgart, Germany
hardcover. Condition: Sehr gut. 798 Seiten; 9780387310732.2 Gewicht in Gramm: 2. Seller Inventory # 1008846
Quantity: 1 available