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Machine Learning : an algorithmic perspective

Machine Learning : an algorithmic perspective

Marshland, Stephen
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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 based on widely available datasets and practical and theoretical problems to test understanding and application of the material.
Année:
2015
Edition:
2ed.
Editeur::
CRC Press
Langue:
english
Pages:
430
ISBN 10:
1466583363
ISBN 13:
9781466583368
Collection:
Chapman & Hall/CRC machine learning & pattern recognition series
Fichier:
PDF, 6.14 MB
IPFS:
CID , CID Blake2b
english, 2015
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