Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence

Lane, Dale

ISBN 10: 1718500564 / ISBN 13: 9781718500563

Published by No Starch Press, 2021

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Synopsis:

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; an application that can recognise the genre of a book based on its cover; a post sorting game that will recognise the postal code on an envelope and use it to send a letter to the right place. They'll also learn how to create a chatbot to answer questions; an artificially intelligent character that will recognise compliments and insults; a virtual Alexa-style smart assistant that learns simple commands; even how to train a Pac-Man character to avoid ghosts. 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.

About the Author: 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.

Bibliographic Details

Title: Machine Learning for Kids: A Project-Based ...
Publisher: No Starch Press
Publication Date: 2021
Binding: paperback
Condition: Very Good