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Adaptive Computation and Machine Learning

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The Adaptive Computation and Machine Learning book series by multiple authors includes books Learning Kernel Classifiers: Theory and Algorithms, Graphical Models for Machine Learning and Digital Communication, Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation, and several more. See the complete Adaptive Computation and Machine Learning series book list in order, box sets or omnibus editions, and companion titles.
27 Books
Boosting: Foundations and Algorithms - Book  of the Adaptive Computation and Machine Learning

Boosting: Foundations and Algorithms

Yoav Freund, Robert E. Schapire
From $60.93
Elements of Causal Inference: Foundations and Learning Algorithms - Book  of the Adaptive Computation and Machine Learning

Elements of Causal Inference: Foundations and Learning Algorithms

Jonas Peters, Bernhard Scholkopf, Dominik Janzing, Bernhard Schölkopf, Bernhard Scholkopf
From $55.27
Machine Learning for Data Streams: With Practical Examples in MOA - Book  of the Adaptive Computation and Machine Learning

Machine Learning for Data Streams: With Practical Examples in MOA

Bernhard Pfahringer, Ricard Gavalda, Albert Bifet, Geoff Holmes, Geoffrey Holmes
Out of Stock
Knowledge Graphs: Fundamentals, Techniques, and Applications - Book  of the Adaptive Computation and Machine Learning

Knowledge Graphs: Fundamentals, Techniques, and Applications

Pedro Szekely, Mayank Kejriwal, Craig Knoblock, Craig A. Knoblock
From $63.36
Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach - Book  of the Adaptive Computation and Machine Learning

Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach

Masashi Sugiyama, Takashi Ishida, Han Bao
From $73.70
Distributional Reinforcement Learning - Book  of the Adaptive Computation and Machine Learning

Distributional Reinforcement Learning

Marc G Bellemare, Will Dabney, Mark Rowland, Marc G. Bellemare
From $67.91
Deep Learning - Book  of the Adaptive Computation and Machine Learning

Deep Learning

Aaron Courville, Yoshua Bengio, Ian Goodfellow
From $55.69
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) - Book  of the Adaptive Computation and Machine Learning

Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)

Richard S. Sutton, Andrew G Barto, Andrew G. Barto
From $55.59
Bioinformatics: The Machine Learning Approach - Book  of the Adaptive Computation and Machine Learning

Bioinformatics: The Machine Learning Approach

Søren Brunak, Sa Ren Brunak, S?ren Brunak, Pierre Baldi
From $7.79
Foundations of Machine Learning - Book  of the Adaptive Computation and Machine Learning

Foundations of Machine Learning

Ameet Talwalkar, Mehryar Mohri, Afshin Rostamizadeh
From $96.07
Gaussian Processes for Machine Learning - Book  of the Adaptive Computation and Machine Learning

Gaussian Processes for Machine Learning

Carl Edward Rasmussen, Christopher K. Williams, Christopher K. I. Williams
From $69.82
Probabilistic Graphical Models: Principles and Techniques - Book  of the Adaptive Computation and Machine Learning

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller, N. Friedman, Nir Friedman
From $151.53
Causation, Prediction, and Search (Adaptive Computation and Machine Learning) - Book  of the Adaptive Computation and Machine Learning

Causation, Prediction, and Search (Adaptive Computation and Machine Learning)

Clark N. Glymour, Peter Spirtes, Richard Scheines, Clark Glymour
From $139.99
The Minimum Description Length Principle - Book  of the Adaptive Computation and Machine Learning

The Minimum Description Length Principle

Peter D. Grünwald
From $80.00
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