Machine Learning : an algorithmic perspective
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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.Abstract: Covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction methods, and the important area of optimization. This book includes examples basedon widely available datasets and practical and theoretical problems to test understanding and application of the material.
LF/307252/R
Data sheet
- Name of the Author
- Marshland
Stephen - Language
- English
- Series
- Chapman & Hall/CRC machine learning & pattern recognition series
- ISBN
- 9781466583368
- Release date
- 2015
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