"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
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
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.