(Hardback, third edition)
By: Daniel P. Friedman
ISBN: 9780262062794
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Readership/Audience: Professional and Scholarly
Publication Date: Apr 2008
Publisher: MIT Press Ltd
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A new edition of a textbook that provides students with a deep, working understanding of the essential concepts of programming languages, completely revised, with significant new material.
(Paperback)
By: Daniel P. Friedman
ISBN: 9780262546379
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Readership/Audience: General
Publication Date: Apr 2023
Publisher: MIT Press Ltd
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"A gentle but detailed introduction to some of the algorithmic ideas behind machine learning"--
(Paperback)
By: Daniel P. Friedman
ISBN: 9780262527958
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Readership/Audience: General
Publication Date: Jul 2015
Publisher: MIT Press Ltd
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An introduction to writing proofs about computer programs, written in an accessible question-and-answer style, complete with step-by-step examples and a simple proof assistant.
(Paperback, fourth edition)
By: Daniel P. Friedman
ISBN: 9780262560993
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Readership/Audience: Tertiary Education
Publication Date: Dec 1995
Publisher: MIT Press Ltd
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This text is a companion volume to "The Seasoned Schemer" and includes thoughts for anyone who wants to know what computing is about and to learn the physics of cyberspace. The information is presented in a humorous and easy-to-grasp fashion.
(Paperback)
By: Daniel P. Friedman
ISBN: 9780262536431
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Readership/Audience: Tertiary Education
Publication Date: Sep 2018
Publisher: MIT Press Ltd
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An introduction to dependent types, demonstrating the most beautiful aspects, one step at a time.
(Paperback, second edition)
By: Daniel P. Friedman
ISBN: 9780262535519
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Readership/Audience: Tertiary Education
Publication Date: Mar 2018
Publisher: MIT Press Ltd
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A new edition of a book, written in a humorous question-and-answer style, that shows how to implement and use an elegant little programming language for logic programming.
(Paperback, second edition)
By: Daniel P. Friedman
ISBN: 9780262561006
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Readership/Audience: Tertiary Education
Publication Date: Dec 1995
Publisher: MIT Press Ltd
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This text introduces computing as an extension of arithmetic and algebra. It introduces programs as recursive functions and briefly discusses the limits of what computers can do. The authors use the programming language SCHEME to illustrate these abstract ideas.
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