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Machine Learning: Discriminative and Generative
Hardcover
Series: The Springer International Engineering and Computer Science, Book 755
General ComputersProbability & StatisticsSystem Administration
ISBN13: 9781402076473
Publisher: Springer
Published: Dec 31 2003
Pages: 200
Weight: 1.11
Height: 0.69 Width: 6.52 Depth: 9.48
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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