Machine learning refined foundations, algorithms, and applications
"The second edition of this text is a complete revision of our first endeavor, with virtually every chapter of the original rewritten from the ground up and eight new chapters of material added, doubling the size of the first edition. Topics from the first edition, from expositions on gradient...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cambridge, New York, NY, Port Melbourne, New Delhi, Singapore
Cambridge University Press
2020
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| Ausgabe: | Second Edition |
| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis zbMATH |
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Tag hinzufügen | Zusammenfassung: | "The second edition of this text is a complete revision of our first endeavor, with virtually every chapter of the original rewritten from the ground up and eight new chapters of material added, doubling the size of the first edition. Topics from the first edition, from expositions on gradient descent to those on One-versus- All classification and Principal Component Analysis have been reworked and polished. A swath of new topics have been added throughout the text, from derivative-free optimization to weighted supervised learning, feature selection, nonlinear feature engineering, boosting-based cross-validation, and more"-- |
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| Beschreibung: | Hier auch später erschienene, unveränderte Nachdrucke First edition published 2016 Includes bibliographical references and index |
| Beschreibung: | xxi, 574 Seiten Illustrationen, Diagramme |
| ISBN: | 9781108480727 978-1-108-48072-7 |