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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
[2015]
|
| Edición: | Second edition. |
| Colección: | Chapman & Hall/CRC machine learning & pattern recognition series.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Marsland, Stephen, |e author. | |
| 245 | 1 | 0 | |a Machine Learning : |b an algorithmic perspective / |c Stephen Marsland. |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Boca Raton, FL : |b CRC Press, |c [2015] | |
| 264 | 4 | |c Ã2015 | |
| 300 | |a 1 online resource (xx, 430 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC machine learning & pattern recognition series | |
| 588 | 0 | |a Online resource; title from title page (Safari, viewed January 14, 2015). | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Algorithmes. | |
| 650 | 7 | |a algorithms. |2 aat | |
| 650 | 7 | |a Algorithms. |2 fast |0 (OCoLC)fst00805020 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 776 | 0 | 8 | |i Print version: |a Marsland, Stephen. |t Machine learning. |b Second edition. |d Boca Raton : CRC Press, [2015] |z 9781466583283 |w (DLC) 2014434325 |w (OCoLC)895686170 |
| 830 | 0 | |a Chapman & Hall/CRC machine learning & pattern recognition series. | |
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