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Languages and Machines: An Introduction to the Theory of Computer Science by Thomas A. Sudkamp

Languages and Machines: An Introduction to the Theory of Computer Science Thomas A. Sudkamp ebook
ISBN: 0201821362, 9780201821369
Publisher: Addison Wesley
Format: djvu
Page: 574

Laszlo Kozma asked the following question: Is finding the minimum regular expression an NP complete problem? These fields are identical in intent although they differ in their history, conventions, emphasis and culture. It also serves as a good introduction to one of the classic areas of learning theory. Subject titles for current and developing classes include Machine Learning, Introduction to Databases, Artificial Intelligence, Circuits and Electronics, Anatomy, Cryptography, Game Theory and Natural Language Processing. What's your crystal ball guess for the status of theoretical computer science vs “traditional mathematics” in 2100? There is During my twenty-five year career I have seen Machine Learning evolve from being a collection of rather primitive (yet clever) set of methods to do classification, to a sophisticated science that is rich in theory and applications. Statistics is the science of learning from data. Machine Learning (ML) is the science of learning from data. David Evans, Introduction to Computing: Explorations in Language, Logic, and Machines. Sudkamp," An Introduction to the Theory of Computer Science, Languages and Machines", Third Edition, Pearson Education, 2007. David Harel, Computers Ltd.: What They Really Can't Do (Oxford, 2000). I grew up in the PC and Internet era, have programmed in all the languages mentioned here and many many more, at some point became a theoretical computer scientist, and continue to be actively involved in theoretical and applied CS research I personally hate when CS is introduced through a programming class; as others have said, not only is this often tedious, it gives the impression that computer science is -only- programming, and that there are no big ideas. Papadimitriou, “Elements of the theory of Computation”, Second Edition, Pearson Education, 2003.