Machine learning : a probabilistic perspective / Kevin P. Murphy.

By:

Murphy, Kevin P

Material type:

TextOriginal language: Spanish Publisher: Cambridge, Massachusetts : Massachusetts Institute of Technology, 2012Edition: 1ª ediciónDescription: 1071 páginas : ilustraciones, 24 centímetrosContent type:

texto

Media type:

sin mediación

Carrier type:

volumen

ISBN:

978-0262018029

Subject(s):

DDC classification:

23 006.31 M978

Contents:

Parte I. Fundamentos -- Parte II. Modelos probabilísticos -- Parte III. Aprendizaje supervisado -- Parte IV. Aprendizaje no supervisado -- Parte V. Métodos avanzados.

Summary: A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. 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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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
	LIBROS - MATERIAL GENERAL	BIBLIOTECA CENTRAL General				006.31 M978 (Browse shelf(Opens below))				Ej.:1	Available (Sin Restricciones)			088986

Total holds: 0

Obra de referencia sobre aprendizaje automático con enfoque probabilístico, orientada a estudiantes, investigadores y profesionales de la informática y la ciencia de datos.

Parte I. Fundamentos -- Parte II. Modelos probabilísticos -- Parte III. Aprendizaje supervisado -- Parte IV. Aprendizaje no supervisado -- Parte V. Métodos avanzados.

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
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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