Artificial Intelligence: A Modern Approach (2nd Edition) (Prentice Hall Series in Artificial Intelligence)
Author: Stuart Russell
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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Bayesian Data Analysis, Second Edition (Texts in Statistical Science)
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Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research)
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Information Theory, Inference & Learning Algorithms
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Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
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Observational Studies
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Reasoning about Uncertainty
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Reasoning about Uncertainty
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Probability Theory: The Logic of Science
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Causation (Oxford Readings in Philosophy)
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Learning Bayesian Networks (Artificial Intelligence)
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Bayesian Networks and Decision Graphs (Information Science and Statistics)
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Algebra of Probable Inference
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Causality and Explanation
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Bayesian Networks and Decision Graphs (Information Science and Statistics)
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Making Things Happen: A Theory of Causal Explanation (Oxford Studies in the Philosophy of Science)
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Causal Models: How People Think about the World and Its Alternatives
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Cause and Correlation in Biology: A User's Guide to Path Analysis, Structural Equations and Causal Inference
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Making Things Happen : A Theory of Causal Explanation (Oxford Studies in the Philosophy of Science)
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Bayesian Artificial Intelligence (Chapman & Hall/Crc Computer Science and Data Analysis)
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Introduction to Graphical Modelling
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Learning in Graphical Models (Adaptive Computation and Machine Learning)
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Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning)
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Probabilistic Networks and Expert Systems (Information Science and Statistics)
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Computation, Causation, and Discovery
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Probabilistic Reasoning in Expert Systems: Theory and Algorithms
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