发信人: Insomnia (完美主义是种病), 信区: AI 标 题: Machine Learning书单 发信站: 水木社区 (Fri Mar 29 16:46:37 2013), 站内 持续更新,请补充。 除了以下推荐的书以外,出版在Foundations and Trends in Machine Learning上面的survey文章都值得一看。 入门: Pattern Recognition And Machine Learning Christopher M. Bishop Machine Learning : A Probabilistic Perspective Kevin P. Murphy The Elements of Statistical Learning : Data Mining, Inference, and Predictio n Trevor Hastie, Robert Tibshirani, Jerome Friedman Information Theory, Inference and Learning Algorithms David J. C. MacKay All of Statistics : A Concise Course in Statistical Inference Larry Wasserman 优化: Convex Optimization Stephen Boyd, Lieven Vandenberghe Numerical Optimization Jorge Nocedal, Stephen Wright Optimization for Machine Learning Suvrit Sra, Sebastian Nowozin, Stephen J. Wright 核方法: Kernel Methods for Pattern Analysis John Shawe-Taylor, Nello Cristianini Learning with Kernels : Support Vector Machines, Regularization, Optimizatio n, and Beyond Bernhard Schlkopf, Alexander J. Smola 半监督: Semi-Supervised Learning Olivier Chapelle 高斯过程: Gaussian Processes for Machine Learning (Adaptive Computation and Machine Le arning) Carl Edward Rasmussen, Christopher K. I. Williams 概率图模型: Graphical Models, Exponential Families, and Variational Inference Martin J Wainwright, Michael I Jordan Boosting: Boosting : Foundations and Algorithms Schapire, Robert E.; Freund, Yoav 贝叶斯: Statistical Decision Theory and Bayesian Analysis James O. Berger The Bayesian Choice : From Decision-Theoretic Foundations to Computational I mplementation Christian P. Robert Bayesian Nonparametrics Nils Lid Hjort, Chris Holmes, Peter Müller, Stephen G. Walker Principles of Uncertainty Joseph B. Kadane Decision Theory : Principles and Approaches Giovanni Parmigiani, Lurdes Inoue 蒙特卡洛: Monte Carlo Strategies in Scientific Computing Jun S. Liu Monte Carlo Statistical Methods Christian P.Robert, George Casella 信息几何: Methods of Information Geometry Shun-Ichi Amari, Hiroshi Nagaoka Algebraic Geometry and Statistical Learning Theory Watanabe, Sumio Differential Geometry and Statistics M.K. Murray, J.W. Rice 渐进收敛: Asymptotic Statistics A. W. van der Vaart Empirical Processes in M-estimation Geer, Sara A. van de 不推荐: Statistical Learning Theory Vladimir N. Vapnik Bayesian Data Analysis, Second Edition Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin Probabilistic Graphical Models : Principles and Techniques Daphne Koller, Nir Friedman |
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