Machine Learning for Kids introduces young readers to the concept of Artificial Intelligence (AI) and the related applications of Machine Learning. Readers learn how to create intelligent games like a rock-paper-scissors game that can learn hand motions and use them to compete against another player; a post sorting game that will recognise the postal code on an envelope and use it to send a letter to the right place. Each project demonstrates a different way that AI is used in the real-world, and readers will be introduced to the biggest issues and challenges that the adoption of AI brings to society.
Publisher: No Starch Press,US
ISBN: 9781718500563
Number of pages: 392
Dimensions: 234 x 177 mm
"Machine Learning for Kids is another leading-edge resource for data scientists, this time for very young data scientists."—Daniel Gutierrez, insideBIGDATA“What delights me about this book is that it’s wonderfully pragmatic, for it guides you in building AI systems that are very much relevant to contemporary computer science.” (from the foreword)—Grady Booch, IBM Fellow and Chief Scientist for Software Engineering, IBM Research"The book is a guided hands-on and practical introduction to how artificial intelligence impacts our lives. It includes step-by-step instructions for making a variety of machine learning-powered projects in Scratch, and explains how they each relate to real-world AI applications."—Alphonse Devasia Blog"Machine Learning and children in one sentence is only possible when cool folks like Dale Lane make it their passion to ‘make tech understandable.'"—Coding and More, YouTuber
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