Understanding Machine Learning: From Theory to Algorithms

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.

• | By (Author): Shai Shalev-Shwartz (Hebrew University of Jerusalem), Shai Ben-David (University of Waterloo, Ontario) (Author)
• | Publisher: Cambridge University Press
• | Publication Date: May 19, 2014
• | Country of Publication: United Kingdom
• | Number of Pages: 410 pages
• | Language: NULL
• | Binding: Hardback
• | ISBN-10: 1107057132
• | ISBN-13: 9781107057135