Description
By (author) Lane, Dale
Short /annotation:
A hands-on, child-friendly, application-based introduction to machine learning and artificial intelligence (AI) using the Scratch programming language.
:
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.
Table of contents:
Introduction
Chapter 1. What is Artificial Intelligence?
Chapter 2. Introducing Machine Learning for Kids
Chapter 3. Sorting Animal Pictures
Chapter 4. Playing Rock, Paper, Scissors Against Your Computer
Chapter 5. Recognizing Movie Posters
Chapter 6. Mail Sorting
Chapter 7. Insulting a Computer
Chapter 8. Recognizing Language in Newspapers
Chapter 9. Finding an Object in a Picture
Chapter 10. Smart Assistants
Chapter 11. Chatbots
Chapter 12. Avoiding the Monster
Chapter 13. Tic Tac Toe
Chapter 14. Confusing the Computer
Chapter 15. Biasing the Computer
Chapter 16. Afterword
Appendix: Scratch
Review quote:
“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
Biographical note:
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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