About this title: The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models ...
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Description: New in New jacket. Brand New Never Opened. Ship via USPS Priority Mail. Hardcover, US Edition. ISBN: 9780387310732 The same as description, Purchase Protected with moneyback guarantee. EXCEPTIONAL Customer Service! USA ONLY! ! read more
Binding: Hardcover
Publisher: Springer Verlag
Date Published: 2006-08-17
ISBN-13:9780387310732ISBN:0387310738
Description: NEW. Hardcover. From an inventory that is 100% brand-new, 100% direct from the publishers' distribution channel. We carry NO pre-owned, NO remaindered. We pack in CARDBOARD to ensure the pristine quality is maintained. (Bubble-wrap alone is NOT sufficient to protect from USPS equipment. ) Guaranteed brand-NEW, protected with CARDBOARD, your satisfaction is guaranteed. BKLUVID: 9780387310732. read more
Description: 0387310738 You'll receive a BRAND-NEW book in perfect condition. IMMEDIATE & FAST UPS shipping. UPS does NOT deliver to PO Boxes or APO addresses, so please give us a physical address to ship to. We cannot ship this item to Alaska or Hawaii. We provide EXCEPTIONAL customer service. We're open 24/7 to serve you best. We've been selling online for over 13 years, over 3 million customers served. Please note that since this item is brand-new & direct from the publisher, it WILL include everything ... read more
Edition: NEW ED
Binding: Hardback
Publisher: SPRINGER-VERLAG NEW YORK INC. Country = UNITED STATES
Date Published: 2008
ISBN-13:9780387310732ISBN:0387310738
Description: BRAND NEW HARDBACK. 760 pages. (758 pages) the dramatic growth in practical applications for machine learning over the years has been accompanied by many important developments in the underlying algorithms and techniques. this textbook reflects these developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. 304 colour illustrations edition new ed (Hardback) read more
Binding: Hardcover
Publisher: Springer
Date Published: 2007
ISBN-13:9780387310732ISBN:0387310738
Description: New. Brand New! Buy with confidence-your satisfaction is guaranteed at B-Logistics! Due to the large scale of our operation, we do not have access to the specific contents/condition of our items. Please note that Expedited shipping is not available at this time. read more
Binding: Hardcover
Publisher: Springer
Date Published: 2006
ISBN-13:9780387310732ISBN:0387310738
Description: New. No dust jacket as issued. Sewn binding. Paper over boards. 738 p. Contains: Illustrations. Information Science and Statistics. Audience: General/trade. read more
Binding: Hardcover
Publisher: Springer
Date Published: 2007
ISBN-13:9780387310732ISBN:0387310738
Description: Good. --All NEW items are exactly as provided by the publisher. All USED items are in Good condition or better, and copies may contain store stickers, highlighting, etc from normal use by previous owner(s). One-time use supplements (e.g., access codes, tear-out flash cards, reference cards, etc) provided with new copies are NOT guaranteed. --Professional booksellers: inquiries always welcome. read more
Binding: Hardback
Publisher: Springer Verlag
Date Published: 2006
ISBN-13:9780387310732ISBN:0387310738
Description: New. The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist nic... read more
Binding: Hardback
Publisher: Springer-Verlag New York Inc
Date Published: 2008
ISBN-13:9780387310732ISBN:0387310738
Description: New. The dramatic growth in practical applications for machine learning over the years has been accompanied by many important developments in the underlying algorithms and techniques. This textbook reflects these developments while providing a comprehensiv... read more
Binding: Hardback
Publisher: Springer Verlag
Date Published: 2006
ISBN-13:9780387310732ISBN:0387310738
Description: New. The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist nic... read more
"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."
"Even with the help of a nuclear physicists turned neurophysiology data analyst, I couldn't work beyond the first four chapters, and perhaps only a percentage of those. However, the efforts are rewarding. If you have read the entirety of this book, and understand it, then I would very much like to replace part of my brain with yours."
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