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Bayesian reasoning and machine learning
La 4e de couverture indique : "Machine learning methods extract value from vast data sets and are established tools in a wide range of business, industrial and scientific applications. This introduction for final-year undergraduate and graduate students conveys the basic computational reasoning...
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| Auteur principal : | |
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| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Bayesian reasoning and machine learning / David Barber,... |
| Publié : |
Cambridge :
Cambridge University Press
, copyright 2012 |
| Description matérielle : | 1 vol. (XXIV-697 p.) |
| Sujets : |
| Résumé : | La 4e de couverture indique : "Machine learning methods extract value from vast data sets and are established tools in a wide range of business, industrial and scientific applications. This introduction for final-year undergraduate and graduate students conveys the basic computational reasoning and more advanced techniques, giving students the insight and skills they need. For students without a firm background in statistics, calculus or linear algebra. Unified conceptual treatment within the framework of graphical models, Bayesian probability and graph theory. Students develop analytical and problem-solving skills needed for the real world. Numerous examples and exercises, both computer-based and theoretical. Downloadable MATLAB toolbox, with demos." |
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| Historique des publications : | Autre tirage : 2015 (6e tirage), 2017 (9e), 2018 (10e) |
| Bibliographie : | Bibliogr. p. [675]-688. Index |
| ISBN : | 978-0-521-51814-7 |