E - Book`s

LOve To ReAd :)

                E-Book`s

*This page includes the download links of ebooks related to computer science and engineering. Click on the links below and start downloading.

:- For CSE (computer science engineering ) or CS department.

• Computer system Architecture, 3rd edition,by M.Morris mano ebook and solution manual
• Let Us C-YashwantKanetkar
• Dr.Dobbs Journal 10 Classical Algorithm Books Set
• Java 2: The Complete Reference, Fifth Edition, by Herbert schildt
• Electronic devices and circuits By Salivahanan
• Data structures , algorithms and applications in c++ by sartraj sahani
• Operating System Concepts - Abraham Silberschatz, Peter Baer Galvin and Greg Gagn,7th Edition
• Data and computer communication, seventh edition (William stallings), powerpoint presentations
• Data Structures, Algorithms, and Applications in c++ by Sartaj Sahni ,programs and exercise solutions
• LOGIC AND SWITCHING THEORY (Author- D.Kavitha, Asst.professor,mvsrec)
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  E- book`s on  Neural Network (Artificial Intelligence)
  
  

  1. Neural Nets, Kevin Gurney
     
     
  2. An Introduction to Artificial Neural Networks, C.A.L. Bailer-Jones berg, R. Gupta, H.P. Singh
  3. Neural Networks, Genevieve Orr
  4. Introduction to Neural Networks
  5. Machine Learning, Neural and Statistical Classification, D. Michie, D.J. Spiegelhalter, C.C. Taylor
  6. Planning Algorithms, Steven M. LaValle
  7. Introduction to Machine Learning, Nils J. Nilsson
  8. Reinforcement Learning: An Introduction, Richard S. Sutton and Andrew G. Barto
  9. An Introduction to Neural Networks Ben Krose, Patrick van der Smagt
  10. Neural Networks - A Systematic Introduction, Raul Rojas
  11. Neural Networks, Christos Stergiou and Dimitrios Siganos
  12. Dynamics of Complex Systems, Yaneer Bar-Yam
  13. Convex Optimization, Stephen Boyd and Lieven Vandenberghe
  14. Reinforcement Learning:An Introduction, Richard S. Sutton, Andrew G. Barto
  15. Computing and the Brain, Dr Bruce Graham
  16. A Genetic Algorithm Tutorial, Darrell Whitley
  17. Artificial Intelligence through Prolog, Neil C. Rowe
  18. Brief Introduction to Educational Implications of Artificial Intelligenc, David Moursund
  19. Gaussian Processes for Machine Learning, Carl Edward Rasmussen and Christopher K. I. Williams
  20. Global Optimization Algorithms - Theory and Application, Thomas Weise
  21. Introduction to Neural Networks with Java, Jeff Heaton
  22. Practical Artificial Intelligence Programming in Java, Mark Watson
  23. Prolog and Natural-Language Analysis, Fernando C. N. Pereira, Stuart M. Shieber