Название: Code to Joy: Why Everyone Should Learn a Little ProgrammingАвтор: Michael L. Littman
Издательство: The MIT Press
Год: 2023
Страниц: 242
Язык: английский
Формат: epub (true), pdf, mobi
Размер: 10.1 MB
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.
There are some people who believe computer programming is a challenging skill that takes a long time to hone. There are others who are just plain wrong. But advances in artificial intelligence and machine learning will help the machines meet us partway. These advances will make computer programming more and more like teaching another person. Now, teaching is also hard to do well. But in its most basic form, it’s an innate part of the human skill set. We come prewired to teach. Computers come prewired to learn. I think we can make this work. The goal of this book is to convey how we can tell machines what we want them to do for us so that you, the reader, feel more comfortable taking on those sorts of tasks yourself.
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