SériesAdaptive Computation And Machine Learning

19 Obras Popularidade 11,964 (744 Membros) 1,308 Livros 11 Críticas 4.1
Bioinformatics: The Machine Learning Approach por Pierre Baldi 83 exemplares
Boosting: Foundations and Algorithms por Robert E. Schapire 26 exemplares, 1 crítica
Causation, Prediction, and Search por Peter Spirtes 36 exemplares, 1 crítica
Deep Learning por Ian Goodfellow 297 exemplares, 1 crítica
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning) por Jonas Peters 21 exemplares
Foundations of Machine Learning por Mehryar Mohri 56 exemplares, 1 crítica
Gaussian Processes for Machine Learning por Carl Edward Rasmussen 67 exemplares, 1 crítica
Graphical Models for Machine Learning and Digital Communication por Brendan J. Frey 14 exemplares
Introduction to Machine Learning por Ethem Alpaydin 119 exemplares
Introduction to Statistical Relational Learning por Lise Getoor 22 exemplares, 2 críticas
Learning in Graphical Models por Michael I. Jordan 26 exemplares
Learning Kernel Classifiers: Theory and Algorithms por Ralf Herbrich 18 exemplares, 1 crítica
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond por Bernhard Schölkopf 54 exemplares
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) por Masashi Sugiyama 3 exemplares
Machine Learning: A Probabilistic Perspective por Kevin P. Murphy 138 exemplares
The Minimum Description Length Principle por Peter D. Grünwald 25 exemplares, 1 crítica
Principles of Data Mining por David J. Hand 86 exemplares
Reinforcement Learning: An Introduction por Richard S. Sutton 176 exemplares, 1 crítica
Semi-Supervised Learning por Olivier Chapelle 24 exemplares, 1 crítica

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