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
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation
Motoaki Kawanabe, Masashi Sugiyama
Out of Stock
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
Bernhard Pfahringer, Ricard Gavalda, Albert Bifet, Geoff Holmes, Geoffrey Holmes
Out of Stock
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
Masashi Sugiyama, Takashi Ishida, Han Bao
From $73.70
Distributional Reinforcement Learning
Marc G Bellemare, Will Dabney, Mark Rowland, Marc G. Bellemare
From $67.91
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
Søren Brunak, Sa Ren Brunak, S?ren Brunak, Pierre Baldi
From $7.79
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Ethem Alpaydin
From $17.09
Principles of Data Mining (Adaptive Computation and Machine Learning)
David J. Hand, Padhraic Smyth
From $5.29
Gaussian Processes for Machine Learning
Carl Edward Rasmussen, Christopher K. Williams, Christopher K. I. Williams
From $69.82
Probabilistic Graphical Models: Principles and Techniques
Daphne Koller, N. Friedman, Nir Friedman
From $151.53
Causation, Prediction, and Search (Adaptive Computation and Machine Learning)
Clark N. Glymour, Peter Spirtes, Richard Scheines, Clark Glymour
From $139.99
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Bernhard Schölkopf, Alexander J. Smola
From $34.29
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