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Sinossi
A hands-on, application-based introduction to machine learning and artificial intelligence (AI). Create compelling AI-powered games and applications using the Scratch programming language.
AI Made Easy with 13 Projects
Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help.
Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based companion website, you’ll see how easy it is to add machine learning to your own projects. You don’t even need to know how to code!
Step by easy step, you’ll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve them.
You’ll turn your models into 13 fun computer games and apps, including:
There’s no experience required and step-by-step instructions make sure that anyone can follow along!
No Experience Necessary! Ages 12+
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
Dale Lane is an award-winning, UK-based software developer for IBM, where he's worked on IBM's (AI) Watson platform since 2011. The father of two children, he's gained distinction working on projects and games that help explain core principles of machine learning to younger students. Lane's free companion website for this book (https://machinelearningforkids.co.uk/) is now used in thousands of schools, and has received worldwide acclaim.
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Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence
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