Statistical and Machine Learning Approaches for Network Analysis
Dehmer, Matthias
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Regular Algebra and Finite Machines
Conway, John Horton
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Introduction to the Theory of Computation
Sipser
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Reinforcement and Systemic Machine Learning for Decision Making
Kulkarni, Parag
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Ensemble Methods for Machine Learning and Pattern Recognition
Zhou, Zhi-Hua
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The Most Human Human : What Talking with Computers Teaches Us about What It Means to Be Alive
Christian, Brian
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The Most Human Human : What Talking with Computers Teaches Us about What It Means to Be Alive
Christian, Brian
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The Cross-Entropy Method : A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning
Rubinstein, Reuven Y.
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Reinforcement Learning and Dynamic Programming Using Function Approximators
Busoniu, Lucian
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The Elements of Statistical Learning : Data Mining, Inference, and Prediction, Second Edition
Hastie, Trevor
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Optimization Techniques for Solving Complex Problems
Alba, Enrique
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Meta Math! : The Quest for Omega
Chaitin, Gregory
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Pattern Recognition and Machine Learning
Bishop, Christopher M.
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Arithmetic Optimization Techniques for Hardware and Software Design
Kastner, Ryan
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The Definitive Guide to How Computers Do Math: Featuring the Virtual DIY Calculator
Maxfield, Clive
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Meta Math! : The Quest for Omega
Chaitin, Gregory
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A Computational Introduction to Number Theory and Algebra
Shoup, Victor
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Counting, Sampling and Integrating: Algorithms and Complexity
Jerrum, Mark
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Imitation in Animals and Artifacts
Nehaniv, Chrystopher L.
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Code : The Hidden Language of Computer Hardware and Software
Petzold, Charles
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