Machine Learning an algorithmic perspective
Introduction. Linear Discriminants. The Multi-Layer Perceptron. Radial Basis Functions and Splines. Support Vector Machines. Learning with Trees. Decision by Committee: Ensemble Learning. Probability and Learning. Unsupervised Learning. Dimensionality Reduction. Optimization and Search. Evolutionary...
Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Boca Raton, FL
CRC Press
2015
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Edition: | Second edition |
Series: | Chapman & Hall/CRC machine learning & pattern recognition series
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Subjects: | |
Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Summary: | Introduction. Linear Discriminants. The Multi-Layer Perceptron. Radial Basis Functions and Splines. Support Vector Machines. Learning with Trees. Decision by Committee: Ensemble Learning. Probability and Learning. Unsupervised Learning. Dimensionality Reduction. Optimization and Search. Evolutionary Learning. Reinforcement Learning. Markov Chain Monte Carlo (MCMC) Methods. Graphical Models. Python |
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Physical Description: | xx, 430 pages illustrations |
ISBN: | 1466583339 1466583363 9781466583368 9781466583337 9781466583283 |