Favorite Books

There are a number books that have really expanded my thinking about a number of different topics. Some of my favorites are:

Artificial Intelligence

• Domingos, The Master Algorithm, ISBN 978-0-465--9427-1, 2015
• Goodfellow, Bengio and Courville, Deep Learning, ISBN 978-0-262-03561-3, 2016
• Russel, Norvig, Artificial Intelligence: A Modern Approach, 2nd ed, ISBN 0-13-790395-2, 2003
• Bishop, Pattern Recognition and Machine Learning, ISBN 0-387-31073-8, 2006
• Wolfram, A New Kind of Science, ISBN 1-57955-008-8, 2002
• Alexrod, The Evolution of Cooperation, ISBN 0-465-02121-2, 1984 and The Complexity of Cooperation, ISBN 0-691-01567-8, 1997
• Gleick, Chaos: Making a New Science, ISBN 0-670-81178-5, 1987

Topological Data Analysis

• Ghrist, Elementary Applied Topology, ISBN 978-1-5028-8085-7, 2014
• Robinson, Toplogical Signal Processing, ISBN 978-3-642-36103-6, 2014
• Edlebrunner and Harer, Computational Topology: An Introduction, ISBN 978-0-8218-4925-5, 2010

Network Analytics

• Jackson, Social and Economic Networks, ISBN 978-0-691-14820-5, 2008
• Wasserman and Faust, Social Network Analysis, ISBN 978-0-521-38707-1, 1994

Natural Language Processing

• Jurafsky and Martin, Speech and Language Processing, ISBN 978-0-13-187321-6, 2009
• Allen, Natural Language Understanding, 2nd ed, ISBN 0-8053-0334-0, 1995