Updated and expanded, The Turing Omnibus offers 66 concise, brilliantly written articles on the major points of interest in computer science theory, technology, and applications. The Turing Omnibus. Discusses a variety of topics in computer science, from cryptography and recursion to artificial intelligence and simulation. My goal each time is to see how much more quickly I can solve all the problems in the book than I did the last time.
A good musician might still practice arpeggios. A programmer might I don't know, actually. What would be the fundamentals that a good programmer might forget? I'll have to think about that one. But it's not just a book for programmers; it's also got a broad, down-to-earth appeal.
It's an intriguing collection of thought puzzles for laypeople with at least a passing interest in the field of computer science. The brand's mission is no different today - for its consumers, New Scientist reports, explores and interprets the results of human endeavour set in the context of society and culture. Dann geht es in die Praxis: Sie programmieren Ihr eigenes Neuronales Netz mit Python und bringen ihm bei, handgeschriebene Zahlen zu erkennen, bis es eine Performance wie ein professionell entwickeltes Netz erreicht.
Author : Michael T. It focuses on the fundamental ability that relates each and every organism to its surroundings, namely, the ability to perceive things in the sense of how to get about among them and what to do, or not to do, with them. In , when he was just twenty-four years old, Alan Turing wrote a remarkable paper in which he outlined the theory of computation, laying out the ideas that underlie all modern computers.
This groundbreaking and powerful theory now forms the basis of computer science. In Turing's Vision, Chris Bernhardt explains the theory, Turing's most important contribution, for the general reader.
Bernhardt argues that the strength of Turing's theory is its simplicity, and that, explained in a straightforward manner, it is eminently understandable by the nonspecialist.
He also views Turing's theory in the context of mathematical history, other views of computation including those of Alonzo Church , Turing's later work, and the birth of the modern computer. Turing wanted to show that there were problems that were beyond any computer's ability to solve; in particular, he wanted to find a decision problem that he could prove was undecidable.
To explain Turing's ideas, Bernhardt examines three well-known decision problems to explore the concept of undecidability; investigates theoretical computing machines, including Turing machines; explains universal machines; and proves that certain problems are undecidable, including Turing's problem concerning computable numbers.
Digital technology runs on algorithms, sets of instructions that describe how to do something efficiently. Application areas range from search engines to tournament scheduling, DNA sequencing, and machine learning.
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