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Introduction to Algorithms
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Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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Pattern Classification (2nd Edition)
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Speech and Language Processing (2nd Edition) (Prentice Hall Series in Artificial Intelligence)
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The Elements of Statistical Learning
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Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems)
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All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)
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Computer Manual in MATLAB to Accompany Pattern Classification, Second Edition
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Introduction to Machine Learning (Adaptive Computation and Machine Learning)
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Neural Networks for Pattern Recognition
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Foundations of Statistical Natural Language Processing
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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
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Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
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An Introduction to Computational Learning Theory
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Kernel Methods for Pattern Analysis
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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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