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

Although a subarea of AI, machine learning also intersects broadly with other fields, especially statistics, but also mathematics, physics, theoretical computer science and more. Wouldn't it be nice if determining .. So the question, mostly directed at old timers, is to which resources would you send a friend asking for advice on learning about the theoretical study of programming languages? The machines are not necessary to study the theory. But history has proven that it doesn't take long before such theories and models change the world, as quantum mechanics did with modern electronics. Computer Science, the name, may not make sense, but there's a lot of computer science study you can do without computers. The third edition of "Languages and Machines: An Introduction to the Theory of Computer Science "provides readers with a mathematically sound presentation. Papadimitriou, “Elements of the theory of Computation”, Second Edition, Pearson Education, 2003. Still others think you should generally agree with the scientific consensus until it is disproved. Speaking of which, I mentioned it the other day, but I liked Schmidt's Denotational Semantics: A Methodology for Language Development, and the first few chapters could be useful as a general intro to some formal PL topics. Sometimes a compiler doesn't exist. A compiler is a short program that translates between computer languages or, in this case, between machines. Since learning is at the core of intelligence.