Foundations of machine learning

By:

Mohri, Mehryar

Contributor(s):

Material type:

TextSeries: Adaptive computation and machine learning seriesPublication details: Cambridge The MIT Press 2018Edition: 2ndDescription: xv, 486p. Includes bibliographical reference & indexISBN:

9780262039406

Subject(s):

Other classification:

D6,9(b) Q8

Summary: This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.

Item type:

Textbook

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Holdings
Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Textbook	Ratan Tata Library	Ratan Tata Library			D6,9(B) Q8 (Browse shelf(Opens below))					Available			RT1528397

This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics.

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