[PDF.02ss] Machine Learning: Discriminative and Generative (The Springer International Series in Engineering and Computer Science)

Machine Learning: Discriminative and Generative (The Springer International Series in Engineering and Computer Science)

[PDF.rq43] Machine Learning: Discriminative and Generative (The Springer International Series in Engineering and Computer Science)

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 | #4059896 in Books |  Springer |  2003-12-31 | Original language:English | PDF # 1 |  9.21 x.63 x6.14l,1.11 | File type: PDF | 200 pages

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|| ||From the reviews: | |"This book aims to unite two powerful approaches in machine learning: generative and discriminative. … Researchers from the generative or discriminative schools will find this book a nice bridge to the other paradigm." (C. Andy Tsa

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-pictu...

You easily download any file type for your device.Machine Learning: Discriminative and Generative (The Springer International Series in Engineering and Computer Science)   |  Tony Jebara. A good, fresh read, highly recommended.

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