The course will use selected chapters of the following books (indicated at the beginning of the course), as well as some material distributed by the instructors:
Mitchell; Machine Learning; McGraw-Hills; 1997; 978-0070428072
Alpaydin; Introduction to Machine Learning; MIT Press; 2014; 9780262028189
Tan, Steinbach, Kumar; Introduction to Data Mining; Pearson Addison Wesley; 2005; 0321321367
Russel, Norvig; Artificial Intelligence: A Modern Approach (3rd Edition); Pearson; 2009; 978-0136042594
Bishop; Pattern Recognition and Machine Learning; Springer; 2007; 978-0387310732
Witten, Frank, Hall; Data Mining: Practical Machine Learning Tools and Technique; Morgan Kaufmann; 2011; 978-0123748560
James, Witten, Hastie, Tibshirani; An Introduction to Statistical Learning; Springer 2013; ISBN 978-1-4614-7138-7