Code to Joy : Why Everyone Should Learn a Little Programming

Michael L Littman

ISBN 10: 0262546396 / ISBN 13: 9780262546393

Published by MIT Press Okt 2023, 2023

About this Item

Neuware - 'With a few basic programming skills, we can change our relationship with the machines in our life and get more done with their helpp'--.

Seller Inventory # 9780262546393

Bibliographic Details

• Title: Code to Joy : Why Everyone Should Learn a Little Programming
• Publisher: MIT Press Okt 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 0262546396
• ISBN 13: 9780262546393
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.

About the Author

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.