SerierAdaptive Computation And Machine Learning

19 Verk Popularitet 11,963 (537 Medlemmar) 911 Böcker 10 Recensioner 4.1
Bioinformatics: The Machine Learning Approach by Pierre Baldi 63 exemplar
Boosting: Foundations and Algorithms by Robert E. Schapire 23 exemplar, 1 recension
Causation, Prediction, and Search by Peter Spirtes 28 exemplar, 1 recension
Deep Learning by Ian Goodfellow 152 exemplar
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning) by Jonas Peters 10 exemplar
Foundations of Machine Learning by Mehryar Mohri 37 exemplar, 1 recension
Gaussian Processes for Machine Learning by Carl Edward Rasmussen 51 exemplar, 1 recension
Graphical Models for Machine Learning and Digital Communication by Brendan J. Frey 11 exemplar
Introduction to Machine Learning by Ethem Alpaydin 101 exemplar
Introduction to Statistical Relational Learning by Lise Getoor 18 exemplar, 2 recensioner
Learning in Graphical Models by Michael I. Jordan 23 exemplar
Learning Kernel Classifiers: Theory and Algorithms by Ralf Herbrich 13 exemplar, 1 recension
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond by Bernhard Schölkopf 48 exemplar
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) by Masashi Sugiyama 3 exemplar
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy 91 exemplar
The Minimum Description Length Principle by Peter D. Grünwald 18 exemplar, 1 recension
Principles of Data Mining by David J. Hand 80 exemplar
Reinforcement Learning: An Introduction by Richard S. Sutton 115 exemplar, 1 recension
Semi-Supervised Learning by Olivier Chapelle 19 exemplar, 1 recension

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