Machine learning : a probabilistic perspective / Kevin P. Murphy.
Material type:
TextOriginal language: Spanish Publisher: Cambridge, Massachusetts : Massachusetts Institute of Technology, 2012Edition: 1ª ediciónDescription: 1071 páginas : ilustraciones, 24 centímetrosContent type: - texto
- sin mediación
- volumen
- 978-0262018029
- 23 006.31 M978
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BIBLIOTECA CENTRAL General | 006.31 M978 (Browse shelf(Opens below)) | Ej.:1 | Available (Sin Restricciones) | 088986 |
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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