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a course in probability theory (3rd, 2000).pdf
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21.5 MB
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a field guide to genetic programming (2008).pdf
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3.8 MB
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a first look at rigorous probability theory (2nd, 2006).pdf
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3.3 MB
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A Practical Theory of Programming - Eric C.R. Hehner.pdf
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1.2 MB
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a probabilistic theory of pattern recognition (1996).pdf
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11.3 MB
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Advances in Applied Artificial Intelligence - John Fulcher.pdf
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13.2 MB
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Advances in Artificial Intelligence – SBIA 2004 - Ana L.C. Bazzan , Sofiane Labidi.pdf
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20.1 MB
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Adventure in Prolog - Amzi.pdf
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921.8 KB
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Agent-Oriented Programming - From Prolog to Guarded Definite Clauses - Matthew M. Huntbach.pdf
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1.8 MB
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all of nonparametric statistics (2010).pdf
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2.3 MB
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all of statistics - a concise course in statistical inference (2010).pdf
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47.1 MB
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an introduction to generalized linear models (2nd, 2001).pdf
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2.2 MB
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an introduction to information retrieval (2009).pdf
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6.9 MB
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An Introduction to Neural Networks - Patrick van der Smagt.pdf
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1.3 MB
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an introduction to pattern recognition - a matlab approach (2010).pdf
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3.5 MB
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An Introduction to Pattern Recognition - Michael Alder.pdf
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4.6 MB
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an introduction to probability theory and applications (vol1, 3rd, 1968).pdf
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36.8 MB
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an introduction to probability theory and applications (vol2, 1971).pdf
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44.1 MB
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An Introduction To Programming In Emacs Lisp, 2Nd Ed - Robert J. Chassell.pdf
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1.1 MB
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An Introduction to Scheme and its Implementation.pdf
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3.1 MB
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Analysis And Applications Of Artificial Neural Networks - LPG Veelenturf.pdf
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12.5 MB
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answer book for calculus 3rd (spivak, 1994).pdf
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22.6 MB
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ant colony optimization (2004).pdf
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2.0 MB
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applied linear statistical models (5th, 2004).pdf
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52.2 MB
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artificial general intelligence (2007).pdf
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6.0 MB
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artificial intelligence (luger, 6th, 2008).pdf
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4.2 MB
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artificial intelligence - a modern approach (3rd, 2009).pdf
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15.6 MB
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Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig.pdf
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38.0 MB
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Artificial Intelligence and Expert Systems for Engineers - Krishnamoorthy , S. Rajeev.pdf
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3.8 MB
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Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain - Konar Amit.pdf
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9.1 MB
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ARTIFICIAL INTELLIGENCE and SOFTWARE ENGINEERING Understanding the Promise of the Future - Derek Partridge.pdf
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2.7 MB
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Artificial Intelligence Applications and Innovations - Bramer Max.pdf
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22.0 MB
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artificial intelligence for games (2nd, 2009).pdf
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4.3 MB
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Artificial Intelligence Strategies, Applications, and Models Through Search 2d ed - Christopher Thornton.pdf
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1.8 MB
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Artificial Intelligence Through Prolog - Neil C Rowe.pdf
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1.2 MB
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Artificial Intelligence Today Recent Trends and Development - Manuela Veloso.pdf
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25.9 MB
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Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger.pdf
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61.8 MB
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Artificial Neural Networks - Colin Fyfe.pdf
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2.6 MB
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Artificial Neural Networks in Real-life Applications - Juan R. Rabunal.pdf
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9.2 MB
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Basic Lisp Techniques - David J. Cooper.pdf
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592.1 KB
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bayesian reasoning and machine learning (2012).pdf
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14.2 MB
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bio-inspired artificial intelligence (2008).pdf
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15.7 MB
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Building Expert Systems in Prolog - Dennis Merritt.pdf
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4.2 MB
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Building Machine Learning Systems with Python - Second Edition.pdf
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6.8 MB
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C++ Neural Networks and Fuzzy Logic - Valluru B. Rao.pdf
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2.5 MB
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calculus (spivak, 3rd, 1994).pdf
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50.7 MB
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calculus (strang, 1991).pdf
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35.2 MB
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Common Lisp - A Gentle Introduction To Symbolic Computation - David S. Touretzky.pdf
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1.1 MB
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Common Lisp - An Interactive Approach - STUART C. SHAPIRO.pdf
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2.6 MB
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Common Lisp the Language, 2nd Edition - Guy L. Steele.pdf
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4.6 MB
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Computational Intelligence An Introduction - Andries P. Engelbrecht.pdf
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17.8 MB
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Computational Intelligence For Decision Support - Chen.pdf
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3.1 MB
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Computational Intelligence In Control - Masoud Mohammadian.pdf
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6.0 MB
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Computational Intelligence in Manufacturing Handbook - Jun Wang.pdf
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12.6 MB
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COMPUTATIONAL LINGUISTICSModels, Resources, Applications - Igor A. Bolshakov , Alexander Gelbukh.pdf
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1.7 MB
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Computational Web Intelligence Intelligent Technology for Web Applications - Y.-Q. Zhang.pdf
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36.9 MB
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Computer Modeling and Simulation Techniques for Computer Vision Problems - Ming-Chin Lu.pdf
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6.4 MB
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Computer Vision - Linda Shapiro.pdf
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20.5 MB
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Computer Vision 2d ed - Dand h Ballard.pdf
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110.2 MB
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Computer Vision A Modern Approach - Forsyth , Ponce.pdf
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52.7 MB
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Computer Vision and Applications A Guide for Students and Practitioners - Bernd Jahne.pdf
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23.8 MB
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Concrete Abstractions An Introduction to Computer Science Using Scheme - Max Hailperin, Barbara Kaiser, and Karl Knight.pdf
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2.6 MB
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convex optimization (2004).pdf
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6.6 MB
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data analysis with open source tools (2010).pdf
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10.7 MB
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data mining - concepts and techniques (3rd, 2011).pdf
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13.1 MB
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data mining - practical machine learning tools and techniques (2011).pdf
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7.3 MB
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Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufmann.pdf
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8.1 MB
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Data Mining Using Grammar Based Genetic Programming and Applications - Wong, Cheung.pdf
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2.0 MB
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Data Mining with Computational Intelligence - Lipo Wang , Xiuju Fu.pdf
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4.7 MB
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Designing Machine Learning Systems with Python 2016 {PRG}.pdf
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9.0 MB
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doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf
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10.4 MB
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Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy.pdf
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1.8 MB
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elements of statistical learning (2008).pdf
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12.9 MB
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elements of statistical learning sol1.pdf
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145.4 KB
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elements of statistical learning sol2.pdf
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69.3 KB
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ensemble methods in data mining (2010).pdf
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2.7 MB
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Essentials of Programming Languages 2d ed - Daniel P. FriedmanMitchell WandChristopher T. Haynes.pdf
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2.5 MB
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Evolutionary Computation for Modeling and Optimization - Daniel Ashlock.pdf
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8.7 MB
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Evolutionary Synthesis of Pattern Recognition Systems - Bir Bhanu.pdf
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16.1 MB
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evolving connectionist systems - the knowledge engineering approach (2007).pdf
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17.4 MB
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Feature Extraction in Computer Vision and Image Processing - Mark S. Nixon.pdf
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4.0 MB
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FLEXIBLE NEURO-FUZZY SYSTEMS Structures, Learning and Performance Evaluation - Leszek Rutkowski.pdf
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28.1 MB
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Formal Syntax and Semantics of Programming Languages - Kenneth Slonneger.pdf
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1.7 MB
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Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering - Nikola Kazabov.pdf
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5.5 MB
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Foundations Of Soft Case-based Reasoning - SANKAR K. PAL.pdf
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3.8 MB
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foundations of statistical language processing (1999).pdf
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6.6 MB
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Foundations of Statistical Natural Language Processing - Christopher D. Manning.pdf
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6.8 MB
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FRONTIERS OF EVOLUTIONARY COMPUTATION - Anil Menon.pdf
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5.8 MB
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Fundamentals of Computer Vision - Mubarak Shah.pdf
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2.3 MB
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fundamentals of matrix computations (2nd, 2002).pdf
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26.8 MB
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Fusion Of Neural Networks, Fuzzy Systems And Genetic Algorithms - Lakhmi C. Jain , N.M. Martin.pdf
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6.9 MB
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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Industrial Applications - Lakhmi C. Jain , N.M. Martin.pdf
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6.9 MB
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Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach - Kazuo Tanaka, Hua O. Wang.pdf
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5.6 MB
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Fuzzy Expert Systems and Fuzzy Reasoning - William Siler.pdf
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3.7 MB
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Fuzzy Logic in Embedded Microcomputers and Control Systems - Walter Banks.pdf
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1.4 MB
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Fuzzy Sets And Fuzzy Information Granulation Theory - lotfi Zadeh.pdf
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6.1 MB
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FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN.pdf
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125.2 MB
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Fuzzy Sets And Systems Theory And Applications - Didier Dubois , Henri Prade.pdf
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10.0 MB
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FUZZY SETS AND THEIR APPLICATIONS TO COGNITIVE AND DECISION PROCESSES - Lotfi A. Zadeh , King-Sun Fu.pdf
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3.7 MB
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gaussian processes for machine learning (2005).pdf
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4.1 MB
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Genetic Programming An Introduction On the Automatic Evolution of Computer Programs and its Applications - Morgan Kaufmann.pdf
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7.6 MB
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Genetic programming Complex adaptive systems - Koza J.R..pdf
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5.6 MB
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Genetic Programming Theory and Practice II - John Koza.pdf
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13.1 MB
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godel, escher, bach - an eternal golden braid (1999).pdf
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32.8 MB
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Handbook of Computer Vision Algorithms in Image Algebra, 2nd Ed - Gerhard X. Ritter.pdf
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10.8 MB
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Handbook of Computer Vision and Applications Volume 1 Sensors and Imaging - Bernd Jahne.pdf
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15.7 MB
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Handbook of Computer Vision and Applications Volume 2 Signal Processing and Pattern Recognition - - Bernd Jahne.pdf
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19.6 MB
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Handbook of Computer Vision and Applications Volume 3 Systems and Applications - Bernd Jahne.pdf
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31.2 MB
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Handbook Of Mathematical Models In Computer Vision - Nikos Paragios.pdf
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101.8 MB
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How to Design Programs An Introduction to Computing and Programming - Matthias Felleisen.pdf
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12.9 KB
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how to prove it - a structured approach (2nd, 2006).pdf
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2.7 MB
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information theory, inference and learning algorithms (2003).pdf
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7.4 MB
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Intelligent Communication Systems - Nobuyoshi Terashima.pdf
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15.4 MB
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Intelligent Control Systems Using Soft Computing Methodologies - Ali Zilouchian.pdf
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12.0 MB
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Intelligent Information Integration for the Semantic Web - Ubbo Visser.pdf
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5.5 MB
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Intelligent Systems for Engineers and Scientists 2d ed - Adrian A. Hopgood.pdf
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3.2 MB
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Intelligent Systems Fusion, Tracking, and Control - GeeWah Ng.pdf
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8.4 MB
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introduction to analysis (1985).pdf
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14.8 MB
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introduction to bayesian statistics (2nd, 2007).pdf
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22.9 MB
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introduction to evolutionary computing (2003).pdf
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47.1 MB
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introduction to linear algebra (4th, 2009).pdf
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94.3 MB
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introduction to linear algebra solution manual.pdf
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604.5 KB
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introduction to linear optimization (1997).pdf
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14.2 MB
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introduction to machine learning (alpaydin, 2009).pdf
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3.7 MB
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introduction to machine learning (smola, 2010).pdf
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10.8 MB
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Introduction to Machine Learning - Nils J Nilsson.pdf
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2.7 MB
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introduction to probability (bertsekas, 2nd, 2008).pdf
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18.2 MB
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introduction to probability (grinstead and snell, 2006).pdf
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3.0 MB
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Introduction to Statistical Pattern Recognition 2nd Ed - Keinosuke Fukunaga.pdf
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13.1 MB
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Kalman Filtering and Neural Networks - Simon Haykin.pdf
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6.2 MB
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kernel methods for pattern analysis (2004).pdf
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3.2 MB
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knowledge representation and reasoning (2004).pdf
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2.4 MB
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Knowledge representation reasoning and declarative problem solving with Answer sets - Chitta Baral.pdf
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2.6 MB
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large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf
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3.8 MB
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Learn Prolog Now! - Patrick Blackburn, Johan Bos , Kristina Striegnitz.pdf
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1.7 MB
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Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf
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71.5 MB
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Learning Bayesian Networks - Neapolitan R. E..pdf
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4.8 MB
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learning deep architectures for AI (2009).pdf
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1.1 MB
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learning with kernels (2002).pdf
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10.3 MB
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lisp book - Gary D. Knott.pdf
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472.3 KB
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Logic, Programming and Prolog 2d ed - Ulf Nilsson , Jan Maluszynski.pdf
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2.0 MB
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machine learning (1997).pdf
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38.8 MB
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machine learning - an algorithmic perspective (2009).pdf
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44.0 MB
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Machine Learning - Tom Mitchell.pdf
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38.8 MB
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Machine Learning And Its Applications - Georgios Paliouras.pdf
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19.2 MB
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machine learning for hackers (2012).pdf
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24.2 MB
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Machine Learning in Computer Vision - N. SEBE.pdf
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6.8 MB
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Machine Learning, Game Play, and Go - David Stoutamire.pdf
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2.1 MB
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Machine Learning, Neural And Statistical Classification - Cc Taylor.pdf
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1.8 MB
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Machine Learning, Neural And Statistical Classification - Michie , Spiegelhalter , Taylor.pdf
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21.1 MB
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matrix algebra - theory, computations, and applications in statistics (2007).pdf
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4.0 MB
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matrix computations (3rd, 1996).pdf
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12.1 MB
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matrix cookbook.pdf
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534.7 KB
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Methods And Applications Of Artificial Intelligence - Themistoklis Panayiotopoulos.pdf
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26.4 MB
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Methods and Procedures for the Verification and Validation of Artificial Neural Networks - Brian J. Taylor.pdf
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20.3 MB
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mining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf
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5.0 MB
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modern multivariate statistical techniques - regression, classification and manifold learning (2008).pdf
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12.3 MB
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Multiagent systems a modern approach to distributed artificial intelligence - Gerhard Weiss.pdf
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4.9 MB
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Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A.pdf
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104.0 MB
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multivariate data analysis (7th, 2009).pdf
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11.7 MB
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Natural Language Processing for Online Applications Text Retrieval,Extraction and Categorization - Peter Jackson , Isabelle Moulinier.pdf
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1.3 MB
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Neural Networks - A Comprehensive Foundation - Simon Haykin.pdf
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42.4 MB
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Neural Networks Algorithms, Applications,and Programming Techniques - James A. Freeman.pdf
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10.6 MB
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neural networks for applied sciences and engineering (2006).pdf
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6.1 MB
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numerical optimization (2nd, 2006).pdf
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3.4 MB
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On LISP Advanced Techniques for Common LISP - Paul Graham.pdf
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1.1 MB
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Ontological Semantics - Sergei Nirenburg , Victor Raskin.pdf
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3.4 MB
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optimization for machine learning (2011).pdf
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3.1 MB
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Particle Swarm Optimization Methods for Pattern Recognition and Image Processing - Mahamed G. H. Omran.pdf
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4.8 MB
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pattern recognition (4th, 2008).pdf
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13.9 MB
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Pattern recognition and image preprocessing 2nd ed -Sing T. Bow.pdf
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39.0 MB
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pattern recognition and machine learning (2007).pdf
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4.7 MB
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pattern recognition and machine learning solutions.pdf
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904.3 KB
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Pattern Recognition in Speech and Language Processing - WU CHOU.pdf
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4.7 MB
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Practical Artificial Intelligence Programming in Java - Mark Watson.pdf
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1.3 MB
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practical methods for optimization (2nd, 1987).pdf
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15.7 MB
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prediction, learning, and games (2006).pdf
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5.8 MB
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probabilistic graphical models - principles and techniques (2009).pdf
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69.4 MB
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probabilistic robotics (2005).pdf
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15.7 MB
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probability theory - the logic of science (2003).pdf
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6.1 MB
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PROBLEM SOLVING WITH REINFORCEMENT LEARNING - Gavin Adrian Rummery.pdf
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1.1 MB
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programming collective intelligence - building smart web 2.0 applications (2007).pdf
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3.5 MB
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Programming Neural Networks in Java - JeffHeaton.pdf
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1.7 MB
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Prolog and Natural Language Analysis - Fernando C. N. Pereira , Stuart M. Shieber.pdf
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1.1 MB
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Prolog Programming A First Course - Paul Brna.pdf
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651.1 KB
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PROLOG PROGRAMMING FOR ARTIFICIAL INTELLIGENCE - lvan Bratko.pdf
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33.3 MB
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RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS Design and Applications - Lakhmi Jain.pdf
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3.4 MB
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Recurrent Neural Networks Design And Applications - L.R. Medsker.pdf
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5.8 MB
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Reinforcement Learning An Introduction - Richard S. Sutton , Andrew G. Barto.pdf
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3.8 MB
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reinforcement learning - an introduction (1998).pdf
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4.2 MB
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robust statistics (2nd, 2009).pdf
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14.5 MB
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schaum's outline of probability, random variables and random processes (1997).pdf
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4.6 MB
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Simply Scheme Introducing Computer Science 2d ed - Brian Harvey , Matthew Wright.pdf
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2.7 MB
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Simulating Continuous Fuzzy Systems - James J. Buckley.pdf
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5.1 MB
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speech and language processing (2nd, 2007).pdf
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19.8 MB
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Static and Dynamic Neural Networks From Fundamentals to Advanced Theory - Madan M. Gupta, Liang Jin, Noriyasu Homma.pdf
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25.0 MB
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statistical learning theory (1998).pdf
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31.3 MB
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Statistical Machine Learning For Information Retrieval - Adam Berger.pdf
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1.5 MB
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Statistical Pattern Recognition 2nd Ed - Andrew R. Webb.pdf
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3.1 MB
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statistics - the exploration and analysis of data (7th, 2010).pdf
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12.7 MB
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statistics in plain english (3rd, 2010).pdf
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2.6 MB
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Successful Lisp How to Understand and Use Common Lisp - David B. Lamkins.pdf
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1.8 MB
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swarm intelligence (2001).pdf
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9.5 MB
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Swarm intelligence - James Kennedy.pdf
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9.5 MB
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Teach Yourself Scheme in Fixnum Days - Dorai Sitaram.pdf
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1.3 MB
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the algorithm design manual (2nd, 2008).pdf
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6.1 MB
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the art of artificial evolution - a handbook on evolutionary art and music (2007).pdf
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15.5 MB
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The Art of Prolog 2nd Ed - Leon Sterling , Ehud Shapiro.pdf
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23.3 MB
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The Elements of Artificial Intelligence Using Lisp - Steven L. Tanimoto.pdf
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28.3 MB
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The handbook of applied expert systems - Jay Liebowitz.pdf
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32.7 MB
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The Handbook Of Brain Theory And Neural Networks 2Nd Ed - Michael A Arbib.pdf
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33.1 MB
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The Handbook of Evolutionary Computation - Kenneth De Jong.pdf
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11.1 MB
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The International Dictionary Of Artificial Intelligence - William Raynor.pdf
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832.9 KB
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the quest for AI - a history of ideas and achievements (2010).pdf
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16.1 MB
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universal artificial intelligence (2005).pdf
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18.4 MB
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Vision with Direction A Systematic Introduction to Image Processing and Computer Vision - Josef Bigun.pdf
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7.3 MB
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Writing GNU Emacs Extensions - Bob Glickstein.pdf
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713.2 KB
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/Artificial Intelligence (Cutting-Edge Science and Technology)/
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Artificial Intelligence (Cutting-Edge Science and Technology)(gnv64).pdf
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18.9 MB
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Torrent downloaded from 1337x.to.txt
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/.../01 Welcome to the course/
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001 Why AI-subtitle-en.srt
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001 Why AI.mp4
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13.2 MB
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002 Introduction-subtitle-en.srt
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002 Introduction.mp4
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9.2 MB
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003 Where to get the Materials.html
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1.6 KB
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004 Some Additional Resources.html
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/.../02 ---------- Part 0 - Fundamentals Of Reinforcement Learning ----------/
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005 Welcome to Part 0 - Fundamentals of Reinforcement Learning.html
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/.../03 Q-Learning Intuition/
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006 Plan of Attack-subtitle-en.srt
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006 Plan of Attack.mp4
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7.1 MB
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007 What is reinforcement learning-subtitle-en.srt
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007 What is reinforcement learning.mp4
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008 The Bellman Equation-subtitle-en.srt
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008 The Bellman Equation.mp4
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009 The Plan-subtitle-en.srt
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009 The Plan.mp4
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010 Markov Decision Process-subtitle-en.srt
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010 Markov Decision Process.mp4
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011 Policy vs Plan-subtitle-en.srt
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011 Policy vs Plan.mp4
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012 Adding a Living Penalty-subtitle-en.srt
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012 Adding a Living Penalty.mp4
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013 Q-Learning Intuition-subtitle-en.srt
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013 Q-Learning Intuition.mp4
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014 Temporal Difference-subtitle-en.srt
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014 Temporal Difference.mp4
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015 Q-Learning Visualization-subtitle-en.srt
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015 Q-Learning Visualization.mp4
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/.../04 ---------- Part 1 - Self-Driving Car (Deep Q-Learning) ----------/
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016 Welcome to Part 1 - Self-Driving Car (Deep Q-Learning).html
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/.../05 Deep Q-Learning Intuition/
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017 Plan of Attack-subtitle-en.srt
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017 Plan of Attack.mp4
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3.9 MB
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018 Deep Q-Learning Intuition - Learning-subtitle-en.srt
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018 Deep Q-Learning Intuition - Learning.mp4
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019 Deep Q-Learning Intuition - Acting-subtitle-en.srt
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019 Deep Q-Learning Intuition - Acting.mp4
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020 Experience Replay-subtitle-en.srt
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020 Experience Replay.mp4
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021 Action Selection Policies-subtitle-en.srt
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021 Action Selection Policies.mp4
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/.../06 Installation for Part 1/
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022 Plan of Attack (Practical Tutorials).html
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023 Where to get the Materials.html
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024 Windows Option 1 End-to-End installation steps.html
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025 Windows Option 2 - Part A Installing Ubuntu on Windows-subtitle-en.srt
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025 Windows Option 2 - Part A Installing Ubuntu on Windows.mp4
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58.0 MB
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026 Windows Option 2 - Part B Installing PyTorch and Kivy on your Ubuntu VM.html
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027 Mac or Linux Installing Anaconda-subtitle-en.srt
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027 Mac or Linux Installing Anaconda.mp4
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028 Mac or Linux Installing PyTorch and Kivy-subtitle-en.srt
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028 Mac or Linux Installing PyTorch and Kivy.mp4
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029 Kivy Installation Walk Through Mac-subtitle-en.srt
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029 Kivy Installation Walk Through Mac.mp4
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029 Kivy-Debug-Tips-for-Mac-OS.pdf
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030 Kivy Installation Walk Through Linux-subtitle-en.srt
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030 Kivy Installation Walk Through Linux.mp4
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031 Getting Started-subtitle-en.srt
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031 Getting Started.mp4
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external_links.txt
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/.../07 Creating the environment/
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032 Self Driving Car - Step 1-subtitle-en.srt
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032 Self Driving Car - Step 1.mp4
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033 Self Driving Car - Step 2-subtitle-en.srt
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033 Self Driving Car - Step 2.mp4
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/.../08 Building an AI/
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034 Self Driving Car - Step 3.mp4
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040 Self Driving Car - Step 9.mp4
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041 Self Driving Car - Step 10-subtitle-en.srt
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041 Self Driving Car - Step 10.mp4
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042 Self Driving Car - Step 11-subtitle-en.srt
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042 Self Driving Car - Step 11.mp4
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043 Self Driving Car - Step 12.mp4
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044 Self Driving Car - Step 13-subtitle-en.srt
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044 Self Driving Car - Step 13.mp4
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045 Self Driving Car - Step 14-subtitle-en.srt
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045 Self Driving Car - Step 14.mp4
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046 Self Driving Car - Step 15.mp4
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047 Self Driving Car - Step 16-subtitle-en.srt
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047 Self Driving Car - Step 16.mp4
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/.../09 Playing with the AI/
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048 Self Driving Car - Level 1-subtitle-en.srt
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048 Self Driving Car - Level 1.mp4
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049 Self Driving Car - Level 2-subtitle-en.srt
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049 Self Driving Car - Level 2.mp4
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050 Self Driving Car - Level 3-subtitle-en.srt
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050 Self Driving Car - Level 3.mp4
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051 Self Driving Car - Level 4-subtitle-en.srt
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051 Self Driving Car - Level 4.mp4
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052 Challenge Solutions.html
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/.../10 ---------- Part 2 - Doom (Deep Convolutional Q-Learning) ----------/
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053 Welcome to Part 2 - Doom (Deep Convolutional Q-Learning).html
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/.../11 Deep Convolutional Q-Learning Intuition/
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054 Plan of Attack-subtitle-en.srt
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054 Plan of Attack.mp4
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055 Deep Convolutional Q-Learning Intuition-subtitle-en.srt
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055 Deep Convolutional Q-Learning Intuition.mp4
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056 Eligibility Trace-subtitle-en.srt
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056 Eligibility Trace.mp4
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/.../12 Installation for Part 2/
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057 Where to get the Materials.html
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058 Installing Open AI Gym and ppaquette.html
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059 Installing Open AI Gym Walk Through (Mac Version)-subtitle-en.srt
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059 Installing Open AI Gym Walk Through (Mac Version).mp4
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059 OpenAI-Gym-Debug-Tips.pdf
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060 Common-Debug-Solutions-Doom.pdf
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060 Installing Open AI Gym Walk Through (Ubuntu Version)-subtitle-en.srt
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060 Installing Open AI Gym Walk Through (Ubuntu Version).mp4
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/.../13 Building an AI/
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061 Doom - Step 1-subtitle-en.srt
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061 Doom - Step 1.mp4
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062 Doom - Step 2-subtitle-en.srt
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063 Doom - Step 3-subtitle-en.srt
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077 Doom - Step 17-subtitle-en.srt
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077 Doom - Step 17.mp4
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/.../14 Playing with the AI/
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078 Watching our AI play Doom-subtitle-en.srt
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078 Watching our AI play Doom.mp4
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/.../15 ---------- Part 3 - Breakout (A3C) ----------/
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079 Welcome to Part 3 - Breakout (A3C).html
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/.../16 A3C Intuition/
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080 Plan of Attack-subtitle-en.srt
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080 Plan of Attack.mp4
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081 The three As in A3C-subtitle-en.srt
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081 The three As in A3C.mp4
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082 Actor-Critic-subtitle-en.srt
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082 Actor-Critic.mp4
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083 Asynchronous-subtitle-en.srt
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083 Asynchronous.mp4
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084 Advantage-subtitle-en.srt
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084 Advantage.mp4
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085 LSTM Layer-subtitle-en.srt
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085 LSTM Layer.mp4
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/.../17 Installation for Part 3/
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086 Installing OpenCV.html
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/.../18 Building an AI/
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087 Breakout - Step 1-subtitle-en.srt
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087 Breakout - Step 1.mp4
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088 Breakout - Step 2-subtitle-en.srt
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101 Breakout - Step 15.mp4
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/.../19 Annex 1 Artificial Neural Networks/
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102 What is Deep Learning-subtitle-en.srt
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102 What is Deep Learning.mp4
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103 Plan of Attack-subtitle-en.srt
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103 Plan of Attack.mp4
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104 The Neuron-subtitle-en.srt
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104 The Neuron.mp4
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105 The Activation Function-subtitle-en.srt
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105 The Activation Function.mp4
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106 How do Neural Networks work-subtitle-en.srt
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106 How do Neural Networks work.mp4
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107 How do Neural Networks learn-subtitle-en.srt
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107 How do Neural Networks learn.mp4
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108 Gradient Descent-subtitle-en.srt
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108 Gradient Descent.mp4
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109 Stochastic Gradient Descent-subtitle-en.srt
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109 Stochastic Gradient Descent.mp4
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110 Backpropagation-subtitle-en.srt
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110 Backpropagation.mp4
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/.../20 Annex 2 Convolutional Neural Networks/
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111 Plan of Attack-subtitle-en.srt
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111 Plan of Attack.mp4
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112 What are convolutional neural networks-subtitle-en.srt
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112 What are convolutional neural networks.mp4
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113 Step 1 - Convolution Operation-subtitle-en.srt
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113 Step 1 - Convolution Operation.mp4
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114 Step 1(b) - ReLU Layer-subtitle-en.srt
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114 Step 1(b) - ReLU Layer.mp4
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115 Step 2 - Pooling-subtitle-en.srt
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115 Step 2 - Pooling.mp4
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116 Step 3 - Flattening.mp4
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117 Step 4 - Full Connection.mp4
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118 Summary-subtitle-en.srt
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118 Summary.mp4
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119 Softmax Cross-Entropy-subtitle-en.srt
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119 Softmax Cross-Entropy.mp4
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/.../21 Bonus Lectures/
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120 YOUR SPECIAL BONUS.html
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/.../[Tutsgalaxy.com] - Artificial Intelligence A-Z - Learn How To Build An AI/
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TutsGalaxy.com.txt
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/Artificial Intelligence A-Z Learn How To Build An AI/
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Read Me.txt
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Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt
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TutsGalaxy.com.txt
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/Klaus Schwab - The Fourth Industrial Revolution 2017 RETAiL ePUB eBOOK-DiSTRiBUTiON/
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audiobook-sample.mp3
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free audiobook version.txt
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klaus.schwab.-.the.fourth.industrial.revolution.2017.retail.epub.ebook-distribution.epub
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Total files 457
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