Springer Machine Learning and Data Mining for Cybersecurity: Techniques and Applications

Pattern Recognition and Machine Learning

(9780387310732) - Dimensions: 178 x 254 x 43.18mm | 2,147g - Edition: 1st ed. 2006. Corr. 2nd printing 2011 - Format: 738 pages - ISBN: 9780387310732 - Number of pages: 738 - Languages: English - Publication place: New York, NY, United States

Pattern Recognition and Machine Learning by Christopher M. Bishop

A comprehensive guide that blends statistical theory with practical algorithms, covering Bayesian inference, neural networks, and support vector machines to master pattern recognition and machine learning.

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Pattern Recognition and Machine Learning by Christopher M. Bishop

A comprehensive guide that blends statistical theory with practical algorithms, covering Bayesian inference, neural networks, and support vector machines to master pattern recognition and machine learning.

Twin Support Vector Machines - Advanced Machine Learning Algorithm for Classification and Regression

Concise Guide to Programming Languages and Machine Learning