Adaptive Computation and Machine Learning
Adaptive Computation and Machine Learning is a 11-book series with 12 primary works first released in 1993 with contributions by Peter Spirtes, Clark Glymour, Richard Scheines, Pierre Baldi, Søren Brunak, Ethem Alpaydin, Carl Edward Rasmussen, Christopher K. I. Williams, Daphne Koller, Nir Friedman, Robert E. Schapire, Yoav Freund, Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar, Ian Goodfellow, Yoshua Bengio, Aaron Courville, Kevin P. Murphy, Marc G. Bellemare, Will Dabney, and Mark Rowland.
Adaptive Computation and Machine Learning
2016 • 27 Readers • 800 pages • 4.6
Adaptive Computation and Machine Learning
1993 • 1 Reader
Adaptive Computation and Machine Learning
11 Readers
Adaptive Computation and Machine Learning
2004 • 5 Readers • 584 pages
Adaptive Computation and Machine Learning
2005 • 248 pages
Adaptive Computation and Machine Learning
2022 • 1 Reader • 858 pages
Adaptive Computation and Machine Learning
2012 • 1 Reader • 544 pages
Adaptive Computation and Machine Learning
2023 • 1 Reader • 385 pages
Adaptive Computation and Machine Learning
1998 • 1 Reader • 492 pages
Adaptive Computation and Machine Learning
2007 • 1 Reader • 602 pages
Adaptive Computation and Machine Learning
2012 • 1 Reader • 427 pages
Adaptive Computation and Machine Learning
2009 • 1,268 pages