• Title: A first course in machine learning - Second edition
• Paperback: 427 pages
• Publisher: Chapman and Hall / CRC
• Language: English
• ISBN-10: 1498738486
• ISBN-13: 978-1498738484
• 
  

" A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML present available. It based rigor and precision with accessibility, starts from a detailed description 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

"The new edition of A First Course in Machine Learning by Rogers and Girolami is an excellent introduction to the use of statistical methods in machine learning. The book making concepts such as mathematical modeling, inference, and prediction, providing 'just in time' the Essential background on linear algebra, calculus, and probability theory that the reader needs to understand these concepts.

-Daniel Ortiz-Arroyo, Associate Professor, Aalborg University Esbjerg, Denmark

"I was impressed by how closely the material aligns with the needs of an introductory course on machine learning, which is its greatest strength ... Overall, this is a pragmatic and helpful book, which is well-aligned to the needs of an introductory course and One that I will be looking at for my own students in coming months. "
-David Clifton, University of Oxford, UK

"This book could be used for junior / senior undergraduate students or first-year graduate students, as well as individuals who want to explore the field of machine learning ... the book only not the concepts but the underlying ideas on algorithm implementation from a critical Thinking perspective.

-Guangzhi Qu, Oakland University, Rochester, Michigan, USA

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