SériesAdaptive Computation And Machine Learning

19 Obras Popularidade 11,655 (555 Membros) 934 Livros 10 Críticas 4.1
Bioinformatics: The Machine Learning Approach by Pierre Baldi 63 exemplares
Boosting: Foundations and Algorithms by Robert E. Schapire 23 exemplares, 1 crítica
Causation, Prediction, and Search by Peter Spirtes 28 exemplares, 1 crítica
Deep Learning by Ian Goodfellow 164 exemplares
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning) by Jonas Peters 10 exemplares
Foundations of Machine Learning by Mehryar Mohri 37 exemplares, 1 crítica
Gaussian Processes for Machine Learning by Carl Edward Rasmussen 51 exemplares, 1 crítica
Graphical Models for Machine Learning and Digital Communication by Brendan J. Frey 11 exemplares
Introduction to Machine Learning by Ethem Alpaydin 101 exemplares
Introduction to Statistical Relational Learning by Lise Getoor 18 exemplares, 2 críticas
Learning in Graphical Models by Michael I. Jordan 23 exemplares
Learning Kernel Classifiers: Theory and Algorithms by Ralf Herbrich 13 exemplares, 1 crítica
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond by Bernhard Schölkopf 48 exemplares
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) by Masashi Sugiyama 3 exemplares
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy 93 exemplares
The Minimum Description Length Principle by Peter D. Grünwald 18 exemplares, 1 crítica
Principles of Data Mining by David J. Hand 81 exemplares
Reinforcement Learning: An Introduction by Richard S. Sutton 123 exemplares, 1 crítica
Semi-Supervised Learning by Olivier Chapelle 19 exemplares, 1 crítica

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