A first course in machine learning /
Rogers, Simon, 1979-
A first course in machine learning / Simon Rogers, Mark Girolami. - Boca Raton : CRC Press, 2011. - xx, 285 p. ; 23 cm. - Machine learning & pattern recognition series .
Includes bibliographical references and index.
Linear Modelling: A Least Squares Approach -- Linear Modelling: A Maximum Likelihood Approach -- The Bayesian Approach to Machine Learning -- Bayesian Inference -- Classification -- Clustering -- Principal Components Analysis and Latent Variable Models.
A First Course in Machine Learning covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms. The algorithms presented span the main problem areas within machine learning: classification, clustering and projection. The text gives detailed descriptions and derivations for a small number of algorithms rather than cover many algorithms in less detail.
9781439824146
2011039389
Machine learning.
006.31
A first course in machine learning / Simon Rogers, Mark Girolami. - Boca Raton : CRC Press, 2011. - xx, 285 p. ; 23 cm. - Machine learning & pattern recognition series .
Includes bibliographical references and index.
Linear Modelling: A Least Squares Approach -- Linear Modelling: A Maximum Likelihood Approach -- The Bayesian Approach to Machine Learning -- Bayesian Inference -- Classification -- Clustering -- Principal Components Analysis and Latent Variable Models.
A First Course in Machine Learning covers the core mathematical and statistical techniques needed to understand some of the most popular machine learning algorithms. The algorithms presented span the main problem areas within machine learning: classification, clustering and projection. The text gives detailed descriptions and derivations for a small number of algorithms rather than cover many algorithms in less detail.
9781439824146
2011039389
Machine learning.
006.31