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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
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Introductory Statistics with R
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Data Analysis and Graphics Using R
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Neural Networks for Pattern Recognition
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Pattern Classification (2nd Edition)
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Generalized Additive Models (Monographs on Statistics and Applied Probability)
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Modern Applied Statistics with S
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
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Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
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The Nature of Statistical Learning Theory (Information Science and Statistics)
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Kernel Methods for Pattern Analysis
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Principles of Data Mining (Adaptive Computation and Machine Learning)
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Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan Kaufmann Series in Data Management Systems)
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