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2014-05-19
Understanding Machine Learning: From Theory to Algorithms- - de Shai Shalev-Shwartz, Shai Ben-David (Author)
Details Understanding Machine Learning: From Theory to Algorithms-
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| Le Titre Du Fichier | Understanding Machine Learning: From Theory to Algorithms- |
| Date de publication | 2014-05-19 |
| Traducteur | Taran Kelcy |
| Chiffre de Pages | 455 Pages |
| La taille du fichier | 52.81 MB |
| Langage | Français & Anglais |
| Éditeur | Anova Books |
| ISBN-10 | 0985928666-VKS |
| Type de Données | PDF ePub AMZ MCW OPF |
| Créateur | Shai Shalev-Shwartz, Shai Ben-David |
| ISBN-13 | 149-4233489817-DWW |
| Nom de Fichier | Understanding-Machine-Learning-From-Theory-to-Algorithms-.pdf |
Télécharger Understanding Machine Learning: From Theory to Algorithms- Livre PDF Gratuit
Designed for advanced undergraduates or beginning graduates the text makes the fundamentals and algorithms of machine learning accessible to students and nonexpert readers in statistics computer science mathematics and engineering
Machine Learning is one of the fastest growing areas of computer science with farreaching applications And if you looking to make a career in this field then Understanding Machine Learning From Theory to Algorithms is a book that is most recommend
ShalevShwartz S BenDavid S 2014 Understanding machine learning From theory to algorithms Cambridge university press — pdf — Excellente référence
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