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.
श्रेणियाँ:
साल:
2015
संस्करण:
2ed.
प्रकाशन:
CRC Press
भाषा:
english
पृष्ठ:
430
ISBN 10:
1466583363
ISBN 13:
9781466583368
श्रृंखला:
Chapman & Hall/CRC machine learning & pattern recognition series
फ़ाइल:
PDF, 6.14 MB
IPFS:
CID , CID Blake2b
english, 2015
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