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Free Book on Neural Network (Artificial Intelligence)

  1. Introduction to Neural Networks

  2. Machine Learning, Neural and Statistical Classification, D. Michie, D.J. Spiegelhalter, C.C. Taylor

  3. Planning Algorithms, Steven M. LaValle

  4. Introduction to Machine Learning, Nils J. Nilsson

  5. Reinforcement Learning: An Introduction, Richard S. Sutton and Andrew G. Barto

  6. An Introduction to Neural Networks Ben Krose, Patrick van der Smagt

  7. Neural Networks - A Systematic Introduction, Raul Rojas

  8. Neural Networks, Christos Stergiou and Dimitrios Siganos

  9. Dynamics of Complex Systems, Yaneer Bar-Yam

  10. Convex Optimization, Stephen Boyd and Lieven Vandenberghe

  11. Reinforcement Learning:An Introduction, Richard S. Sutton, Andrew G. Barto

  12. Computing and the Brain, Dr Bruce Graham

  13. A Genetic Algorithm Tutorial, Darrell Whitley

  14. Artificial Intelligence through Prolog, Neil C. Rowe

  15. Brief Introduction to Educational Implications of Artificial Intelligenc, David Moursund

  16. Gaussian Processes for Machine Learning, Carl Edward Rasmussen and Christopher K. I. Williams

  17. Global Optimization Algorithms - Theory and Application, Thomas Weise

  18. Introduction to Neural Networks with Java, Jeff Heaton

  19. Practical Artificial Intelligence Programming in Java, Mark Watson

  20. Prolog and Natural-Language Analysis, Fernando C. N. Pereira, Stuart M. Shieber

Free Books on Information Theory and Communication System

  1. Fundamentals of Wireless Communication, David Tse and Pramod Viswanath
  2. An Introduction to Wireless Technology, IBM
  3. Information Theory, Inference and Learning Algorithms, David J. C. MacKay
  4. Entropy and Information Theory, R.M. Gray
  5. Complexity Issues in Coding Theory, Alexander Barg
  6. Network Coding Theory, Raymond W. Yeung, Shuo-Yen Robert Li, Ning Cai and Zhen Zhang
  7. Notes on Coding Theory, Jonathan I. Hall
  8. Theory of Codes, Jean Berstel, Dominique Perrin, C. Reutenauer
  9. Codes and Automata, Jean Berstel, Dominique Perrin, C. Reutenauer
  10. A Short Course in Information Theory, David J.C. MacKay
  11. Information, Randomness and Incompleteness, G J Chaitin, IBM Research
  12. A Discipline Independent Definition of Information, Robert M. Losee
  13. A Mathematical Theory of Communication, Claude E. Shannon
  14. The Limits of Mathematics: A Course on Information Theory and the Limits of Formal Reasoning , G J Chaitin
  15. UWB Communication Systems—A Comprehensive Overview, Edited by: Maria-Gabriella Di Benedetto, Thomas Kaiser, Andreas F.Molisch, Ian Oppermann, Christian Politano, and Domenico Porcino
  16. Introduction to Data Communications, by Eugene Blanchard
  17. Understanding Optical Communications
  18. Asterisk: The Future of Telephony, Jim Van Meggelen/Jared Smith/Leif Madsen
  19. Primer on Information Theory, Thomas Schneider
  20. A Discipline Independent Definition of Information, Robert M. Losee
  21. High-Speed Communication Circuits and Systems, Prof. Michael Perrott
  22. Communication System Design, Prof. Vladimir Stojanovic
  23. Essential Coding Theory, Prof. Madhu Sudan
  24. Speech Communication, Prof. Kenneth Steven
  25. Quantum Optical Communication, Prof. Jeffrey H. Shapiro
  26. Principles of Wireless Communications, Prof. Lizhong Zheng
  27. Principles of Digital Communications I, Prof. Robert Gallager, Prof. Lizhong Zheng
  28. Principles of Digital Communication II, Prof. David Forney
  29. Quantum Information Science, Prof. Issac Chuang, Prof. Peter Shor
  30. Transmission of Information, Prof. Muriel Medard, Prof. Lizhong Zheng
  31. Data Communication Networks, Prof. Eytan Modiano
  32. Stochastic Processes, Detection, and Estimation, Prof. Alan Willsky, Prof. Gregory Wornell
  33. Primer on Information Theory by Thomas Schneider
  34. Stochastic Processes, Detection and Estimation-A. S. Willsky and G. W. Wornell