Machine Learning for Kids
A Playful Introduction to Artificial Intelligence
$58.72
- Paperback
392 pages
- Release Date
30 March 2021
Summary
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 …
Book Details
| ISBN-13: | 9781718500563 |
|---|---|
| ISBN-10: | 1718500564 |
| Author: | Dale Lane |
| Publisher: | No Starch Press,US |
| Imprint: | No Starch Press,US |
| Format: | Paperback |
| Number of Pages: | 392 |
| Release Date: | 30 March 2021 |
| Weight: | 562g |
| Dimensions: | 177mm x 235mm |
| Audience Age: | 12-14 |
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Critics Review
“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
Dale Lane
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 is now used in thousands of schools, and has received worldwide acclaim.
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