TY  - BOOK
AU  -  Rogers, Simon
AU  - Girolami, Mark 
TI  -  First Course in Machine Learning
T2  - Chapman & Hall/CRC Machine Learning & Pattern Recognition series
SN  - 9781032937908
PY  - 2017///
CY  - Boca Raton
PB  - CRC Press/Taylor & Franics
KW  - Bayesian methods
KW  - classification
KW  - Linear modelling
KW  - Clustering
N1  - Includes index
N2  - A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and precision with accessibility, starts from a detailed explanation of the basic foundations of Bayesian analysis in the simplest of settings, and goes all the way to the frontiers of the subject such as infinite mixture models, GPs, and MCMC." —Devdatt Dubhashi, Professor, Department of Computer Science and Engineering, Chalmers University, Sweden "This textbook manages to be easier to read than other comparable books in the subject while retaining all the rigorous treatment needed. The new chapters put it at the forefront of the field by covering topics that have become mainstream in machine learning over the last decade
ER  -