机器学习书目推荐
机器学习书目推荐
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决策树的重要性和入门可以参考前面两篇文章：
在清华水木上有个Machine Learning的书单:?http://www.newsmth.net/nForum/#!article/AI/34859
?其中作为入门的几本书也不简单，都是经典的作品PRML或者是最新的著作(ML-APP)，这些书在网上都能找到，不过找到不过不看放在硬盘里的话，其实这些书对你的用处并不大。
?这些书都能在网上找到，我就不贴下载了，大家可以自行查找。
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入门：?
Pattern Recognition And Machine Learning ? ? ? ? ? ? ? ?
Author：hristopher M. Bishop?
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Machine Learning : A Probabilistic Perspective?
Kevin P. Murphy?
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The Elements of Statistical Learning : Data Mining, Inference, and Prediction?
Trevor Hastie, Robert Tibshirani, Jerome Friedman??
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Information Theory, Inference and Learning Algorithms?
David J. C. MacKay?
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All of Statistics : A Concise Course in Statistical Inference?
Larry Wasserman??
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优化：?
Convex Optimization?
Stephen Boyd, Lieven Vandenberghe?
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Numerical Optimization??
Jorge Nocedal, Stephen Wright?
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Optimization for Machine Learning?
Suvrit Sra, Sebastian Nowozin, Stephen J. Wright?
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核方法：?
Kernel Methods for Pattern Analysis???
John Shawe-Taylor, Nello Cristianini?
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Learning with Kernels : Support Vector Machines, Regularization, Optimization, and Beyond?
Bernhard Schlkopf, Alexander J. Smola?
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半监督：?
Semi-Supervised Learning?
Olivier Chapelle?
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高斯过程：?
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)???
Carl Edward Rasmussen, Christopher K. I. Williams?
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概率图模型：??
Graphical Models, Exponential Families, and Variational Inference???
Martin J Wainwright, Michael I Jordan?
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Boosting:?
Boosting : Foundations and Algorithms??
Schapire, Robert E.; Freund, Yoav?
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贝叶斯:???
Statistical Decision Theory and Bayesian Analysis??
James O. Berger??
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The Bayesian Choice : From Decision-Theoretic Foundations to Computational Implementation??
Christian P. Robert??
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Bayesian Nonparametrics???
Nils Lid Hjort, Chris Holmes, Peter Müller, Stephen G. Walker?
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Principles of Uncertainty??
Joseph B. Kadane??
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Decision Theory : Principles and Approaches?
Giovanni Parmigiani, Lurdes Inoue?
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蒙特卡洛：?
Monte Carlo Strategies in Scientific Computing?
Jun S. Liu?
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Monte Carlo Statistical Methods?
Christian P.Robert, George Casella ?
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信息几何：?
Methods of Information Geometry??
Shun-Ichi Amari, Hiroshi Nagaoka?
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Algebraic Geometry and Statistical Learning Theory?
Watanabe, Sumio ?
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Differential Geometry and Statistics?
M.K. Murray, J.W. Rice ?
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渐进收敛：?
Asymptotic Statistics?
A. W. van der Vaart ?
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Empirical Processes in M-estimation?
Geer, Sara A. van de ?
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不推荐：???
Statistical Learning Theory?
Vladimir N. Vapnik ?
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Bayesian Data Analysis, Second Edition?
Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin?
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Probabilistic Graphical Models : Principles and Techniques?
Daphne Koller, Nir Friedman ?
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另外在微博上也有北美比较常用的机器学习/自然语言处理/语音处理经典书籍的推荐，其中的推荐面比较广，可以看下，和水木上的推荐有重叠。
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