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Code to Joy: Why Everyone Should Learn a Little Programming

(Paperback)


Publishing Details

Full Title:

Code to Joy: Why Everyone Should Learn a Little Programming

Contributors:

By (Author) Michael L. Littman

ISBN:

9780262546393

Publisher:

MIT Press Ltd

Imprint:

MIT Press

Publication Date:

7th November 2023

UK Publication Date:

22nd September 2023

Country:

United States

Classifications

Readership:

General

Fiction/Non-fiction:

Non Fiction

Other Subjects:

Machine learning
Impact of science and technology on society

Dewey:

005.13

Physical Properties

Physical Format:

Paperback

Number of Pages:

232

Dimensions:

Width 154mm, Height 229mm, Spine 15mm

Weight:

278g

Description

How we can get more joy from our machines by telling them what our hearts desire. In this informative, accessible, and very funny book, Michael L. Littman inspires readers to learn how to tell machines what to do for us. Rather than give in to the fear that computers will steal our jobs, spy on us and control what we buy and whom we vote for, we can improve our relationship with them just by learning basic programming skills. Our devices will help us, Littman writes, if we can say what we want in a way they can understand. Each chapter of the book focuses on a particular element of what can be said, providing examples of how we use similar communication in our daily interactions with people. Littman offers ways readers can experiment with these ideas right away, using publicly available systems that might also make us more productive as a welcome side effect. Each chapter also reflects on how the use of these programming components can be expedited by machine learning. With humor and teacherly guidance, Code to Joy brings into view a future where programming is like reading-something everyone can learn.

Author Bio

Michael L. Littman is University Professor of Computer Science at Brown University and holds an adjunct position with the Georgia Institute of Technology College of Computing. He was selected by the American Association for the Advancement of Science as a Leadership Fellow for Public Engagement with Science in Artificial Intelligence.

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