Algorithmic aspects of machine learning / Ankur Moitra, Massachusetts Institute of Technology.

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Material type: Text

TextLanguage: English Publication details: Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press, 2018.Description: pages cmISBN:

9781107184589 (hardback)
9781316636008 (paperback)

Subject(s):

DDC classification:

006.31015181 23 MOI

Contents:

1. Introduction 2. Nonnegative matrix factorization 3. Tensor decompositions - algorithms 4. Tensor decompositions - applications 5. Sparse recovery 6. Sparse coding 7. Gaussian mixture models 8. Matrix completion.

Summary: This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning Read more

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
General Books	CUTN Central Library Generalia	Non-fiction	006.31015181 MOI (Browse shelf(Opens below))	Available		37497

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning Read more

Includes bibliographical references.

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