The Black Swan: The Impact of the Highly Improbable
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Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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Elements of Information Theory 2nd Edition (Wiley Series in Telecommunications and Signal Processing)
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The Elements of Statistical Learning
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Introduction to Machine Learning (Adaptive Computation and Machine Learning)
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Algorithmic Game Theory
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Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
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An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)
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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
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Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
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Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
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Prediction, Learning, and Games
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Semi-Supervised Learning (Adaptive Computation and Machine Learning)
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Nonlinear Dimensionality Reduction (Information Science and Statistics)
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Information Criteria and Statistical Modeling (Springer Series in Statistics)
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The Minimum Description Length Principle (Adaptive Computation and Machine Learning)
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An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)
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Pattern Theory: From Representation to Inference (Oxford Studies in Modern European Culture)
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Predicting Structured Data (Neural Information Processing)
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Algorithmic Learning in a Random World
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