Reference books
This course is self sufficient, and does not strictly follow a single text book. We recommend the following books to use as reference for the course.
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Artificial Intelligence: a Modern Approach (Third Edition) by Stuart Russell & Peter Norvig (2016). A digital version is available from the College library.
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Machine Learning by Tom Mitchell (1997).
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Pattern Classification (Second Edition) by Richard Duda, Peter Hart & David Stork (2000).
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Statistical Pattern Recognition (Third Edition) by Andrew Webb & Keith Copsey. (2011).