Rina Dechter
Morgan Kauffman
“This book provides a comprehensive and much needed introduction to the field by one of its foremost experts. It is beautifully written and presents a unifying framework capturing a wide range of techniques for processing symbolic, numerical, and probabilistic information.”

–Bart Selman, Cornell University

Pierre Baldi, Paolo Frasconi, and Padhraic Smyth
“This book provides an extremely useful introduction to the intellectually stimulating problems of data mining electronic business.”

— Andreas S. Weigend (Chief Scientist,

Pierre Baldi and Søren Brunak
MIT Press
“This is a very good book, written with a high level of erudition and insight.”

— Gustavo A. Stolovitzky, Physics Today

David J. Hand, Heikki Mannila, and Padhraic Smyth
MIT Press
“Principles of Data Mining is a well-thought-out lucid introduction to data mining principles and techniques that is a pleasure to read. It would be a worthy addition to your bookshelf.”

–Ashish P. Sanil, National Institute of Statistical Sciences, from the Journal of the American Statistical Association

Andrew Gelman, John B. Carlin, Hal S. Stern, and Donald B. Rubin
CRC Press
“Bayesian Data Analysis is easily the most comprehensive, scholarly, and thoughtful book on the subject, and I think will do much to promote the use of Bayesian methods.”

–Prof. David Blackwell, Department of Statistics, University of California, Berkeley

Pierre Baldi
MIT Press
“What we will become remains intriguing and ominous, making this probing book a valuable contribution to thinking about our future.”

— Steven R. Quartz, American Scientist

Pierre Baldi and G. Wesley Hatfield
Cambridge University Press
“Writing a book such as this was a challenging remit and one that the authors have achieved with great success.”

— Human Genomics