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Machine Learning - Discriminative and Generative (Paperback, Softcover reprint of the original 1st ed. 2004) Loot Price: R2,634
Discovery Miles 26 340
Machine Learning - Discriminative and Generative (Paperback, Softcover reprint of the original 1st ed. 2004): Tony Jebara

Machine Learning - Discriminative and Generative (Paperback, Softcover reprint of the original 1st ed. 2004)

Tony Jebara

Series: The Springer International Series in Engineering and Computer Science, 755

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Loot Price R2,634 Discovery Miles 26 340 | Repayment Terms: R247 pm x 12*

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Machine Learning: Discriminative and Generative covers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic models to discriminative support-vector machines. However, unlike previous books that only discuss these rather different approaches in isolation, it bridges the two schools of thought together within a common framework, elegantly connecting their various theories and making one common big-picture. Also, this bridge brings forth new hybrid discriminative-generative tools that combine the strengths of both camps. This book serves multiple purposes as well. The framework acts as a scientific breakthrough, fusing the areas of generative and discriminative learning and will be of interest to many researchers. However, as a conceptual breakthrough, this common framework unifies many previously unrelated tools and techniques and makes them understandable to a larger portion of the public. This gives the more practical-minded engineer, student and the industrial public an easy-access and more sensible road map into the world of machine learning. Machine Learning: Discriminative and Generative is designed for an audience composed of researchers & practitioners in industry and academia. The book is also suitable as a secondary text for graduate-level students in computer science and engineering.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: The Springer International Series in Engineering and Computer Science, 755
Release date: September 2012
First published: 2004
Authors: Tony Jebara
Dimensions: 235 x 155 x 12mm (L x W x T)
Format: Paperback
Pages: 200
Edition: Softcover reprint of the original 1st ed. 2004
ISBN-13: 978-1-4613-4756-9
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 1-4613-4756-4
Barcode: 9781461347569

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