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【资源】机器学习书单

2013/5/30镜像同步65 回复

（转自水木insomnia，并修改）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：统计学习方法李航 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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