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Programming Collective Intelligence: Building Smart Web 2.0 Applications
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Numerical Recipes 3rd Edition: The Art of Scientific Computing
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Convex Optimization
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All of Nonparametric Statistics (Springer Texts in Statistics)
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The Minimum Description Length Principle (Adaptive Computation and Machine Learning)
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Approximate Dynamic Programming: Solving the Curses of Dimensionality (Wiley Series in Probability and Statistics)
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Semi-Supervised Learning (Adaptive Computation and Machine Learning)
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Prediction, Learning, and Games
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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
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Nonlinear Time Series Analysis
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Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
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Predicting Structured Data (Neural Information Processing)
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Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
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Understanding Complex Datasets: Data Mining with Matrix Decompositions (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series)
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Introduction to Clustering Large and High-Dimensional Data
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Kernel Methods in Computational Biology (Computational Molecular Biology)
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New Directions in Statistical Signal Processing: From Systems to Brains (Neural Information Processing)
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