Probability for statistics and machine learning : fundamentals and advanced topics
This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It is written in an extremely accessible style, with elaborate motivating discussions and num...
Sábháilte in:
| Príomhchruthaitheoir: | |
|---|---|
| Formáid: | Livre numérique |
| Teanga: | Anglais |
| Foilsithe / Cruthaithe: |
New York, NY :
Springer New York : Imprint: Springer
[20..].
Cham : Springer Nature |
| Sraith: | Springer Texts in Statistics
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| Ábhair: | |
| Rochtain ar líne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nóta: |
Description d'après consultation du 14 mai 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Probability for statistics and machine learning, fundamentals and advanced topics, Anirban DasGupta, New York, Springer, 2011, 1 vol. (XIX-782 p.), Springer texts in statistics, 978-1-441-99633-6 |