| Description |
1 online resource (xx, 430 pages) : illustrations |
| Series |
Chapman & Hall/CRC machine learning & pattern recognition series |
|
Chapman & Hall/CRC machine learning & pattern recognition series.
|
| Bibliography |
Includes bibliographical references. |
| Contents |
Introduction -- Preliminaries -- Neurons, neural networks, and linear discriminants -- The multi-layer perceptron -- Radial basis functions and splines -- Dimensionality reduction -- Probabilistic learning -- Support vector machines -- Optimisation and search -- Evolutionary learning -- Reinforcement learning -- Learning with trees -- Decision by committee: ensemble learning -- Unsupervised learning -- Markov chain Monte Carlo (MCMC) methods -- Graphical models -- Symmetric weights and deep belief networks -- Gaussian processes -- Python. |
| 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. |
| Subject |
Machine learning.
|
|
Algorithms.
|
|
Apprentissage automatique. |
|
Algorithmes. |
|
algorithms. |
|
Algorithms |
|
Machine learning |
| Other Form: |
Print version: Marsland, Stephen. Machine learning. Second edition. Boca Raton : CRC Press, [2015] 9781466583283 (DLC) 2014434325 (OCoLC)895686170 |
| ISBN |
9781466583337 |
|
1466583339 |
|
9781466583368 |
|
1466583363 |
|
9781466583283 |
|
1466583282 |
|
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