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Machine Learning: Discriminative and Generative

Machine Learning: Discriminative and Generative

Paperback

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

General ComputersProbability & StatisticsSystem Administration

ISBN10: 1461347564
ISBN13: 9781461347569
Publisher: Springer Nature
Published: Sep 27 2012
Pages: 200
Weight: 0.71
Height: 0.48 Width: 6.14 Depth: 9.21
Language: English

Machine Learning is a powerful new field with many important practical applications. Thanks to the information age and flood of data, it has taken many domains by storm including biology, text processing, internet data organization, computer vision, speech recognition, computer-human interfaces, robotics, and artificial intelligence. This easy-access book covers the main contemporary themes and tools in machine learning, ranging from Bayesian probabilistic models to discriminative support-vector machines. Unlike previous books, it bridges these two schools of thought together within a common framework, elegantly connecting their various theories and combining their strengths into one common big-picture.

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Probability & Statistics