SeriesAdaptive Computation And Machine Learning

19 Obras Popularidad 11,962 (746 Miembros) 1,310 Libros 11 Reseñas 4.1
CuentoPublicación
Bioinformatics: The Machine Learning Approach por Pierre Baldi 83 copias
Boosting: Foundations and Algorithms por Robert E. Schapire 26 copias, 1 reseña
Causation, Prediction, and Search por Peter Spirtes 36 copias, 1 reseña
Deep Learning por Ian Goodfellow 298 copias, 1 reseña
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning) por Jonas Peters 21 copias
Foundations of Machine Learning por Mehryar Mohri 56 copias, 1 reseña
Gaussian Processes for Machine Learning por Carl Edward Rasmussen 67 copias, 1 reseña
Graphical Models for Machine Learning and Digital Communication por Brendan J. Frey 14 copias
Introduction to Machine Learning por Ethem Alpaydin 120 copias
Introduction to Statistical Relational Learning por Lise Getoor 22 copias, 2 reseñas
Learning in Graphical Models por Michael I. Jordan 26 copias
Learning Kernel Classifiers: Theory and Algorithms por Ralf Herbrich 18 copias, 1 reseña
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond por Bernhard Schölkopf 54 copias
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) por Masashi Sugiyama 3 copias
Machine Learning: A Probabilistic Perspective por Kevin P. Murphy 138 copias
The Minimum Description Length Principle por Peter D. Grünwald 25 copias, 1 reseña
Principles of Data Mining por David J. Hand 86 copias
Reinforcement Learning: An Introduction por Richard S. Sutton 176 copias, 1 reseña
Semi-Supervised Learning por Olivier Chapelle 24 copias, 1 reseña

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