Machine learning : a probabilistic perspective

By:

Murphy, Kevin P

Material type: Text

TextPublication details: London MIT Press 2012Description: xx, 1078pISBN:

9780262018029 (pbk.)

Subject(s):

DDC classification:

628.3 GAR

Summary: Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Computer science	006.31 MUR (Browse shelf(Opens below))	Checked out	04/02/2025	002917
Book	Plaksha University Library	Computer science	006.31 MUR (Browse shelf(Opens below))	Available		002918
Book	Plaksha University Library	Computer science	006.31 MUR (Browse shelf(Opens below))	Available		001636
Book	Plaksha University Library	Computer science	006.31 MUR (Browse shelf(Opens below))	Available		001637
Book	Plaksha University Library	Computer science	006.31 MUR (Browse shelf(Opens below))	Available		001638
Book	Plaksha University Library	Computer science	006.31 MUR (Browse shelf(Opens below))	Available		001716

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https://mitpress.mit.edu/books/machine-learning-1

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.

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