Understanding Machine Learning: From Theory to Algorithms

Shalev-Shwartz, Shai

ISBN 10: 1107057132 / ISBN 13: 9781107057135

Verlag: Cambridge University Press, 2014

Beschreibung

Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Bestandsnummer des Verkäufers wbs2570212969

Bibliografische Details

• Titel: Understanding Machine Learning: From Theory to Algorithms
• Verlag: Cambridge University Press
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 1107057132
• ISBN-13: 9781107057135
• Einband: Hardcover
• Zustand: Like New
• Gewicht: 910 Gramm

Über diesen Titel

Inhaltsangabe

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the 'hows' and 'whys' of machine-learning algorithms, making the field accessible to both students and practitioners.

Über die Autorinnen und Autoren

Shai Shalev-Shwartz is an Associate Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel.

Shai Ben-David is a Professor in the School of Computer Science at the University of Waterloo, Canada.