Artificial Intelligence for Babies
Published on 1. August 2024
Book
Board book
24 pages
978-1-4642-2145-3 (ISBN)
Description
It's never too early to introduce small children to big ideas!
The bestselling science board book series continues to expand! Fans of Chris Ferrie's Pythagorean Theorem for Babies, Organic Chemistry for Babies, and 8 Little Planets will love this introduction to artificial intelligence for babies and toddlers.
From the #1 science author for kids comes this next instalment in the bestselling Baby University series.
Artificial Intelligence for Babies introduces babies (and grownups!) to the basics of artificial intelligence, explained through easy-to-understand, fun images and explanations.
Written by Chris Ferrie - an expert on physics, maths and science - this is the perfect book for enlightening the next generation of geniuses. It's never too early to become a mathematician or scientist!
This book features board book pages that are easy for small hands to turn, with fun illustrations that demonstrate the concepts behind AI as simply as possible. Artificial Intelligence for Babies is the perfect entry point for any young mind to begin grasping this exciting area of modern computing, and an excellent addition to the acclaimed Baby University series.
Discover more from the bestselling Baby University series:
Rocket Science for Babies
Neural Networks for Babies
Organic Chemistry for Babies
Quantum Computing for Babies
Bayesian Probability for Babies
...and many more!
Chris Ferrie is an award-winning physicist and Senior Lecturer for Quantum Software and Information at the University of Technology in Sydney. He has a Masters in applied mathematics, BMath in mathematical physics and a PhD in applied mathematics. He lives in Australia with his wife and children.
The bestselling science board book series continues to expand! Fans of Chris Ferrie's Pythagorean Theorem for Babies, Organic Chemistry for Babies, and 8 Little Planets will love this introduction to artificial intelligence for babies and toddlers.
From the #1 science author for kids comes this next instalment in the bestselling Baby University series.
Artificial Intelligence for Babies introduces babies (and grownups!) to the basics of artificial intelligence, explained through easy-to-understand, fun images and explanations.
Written by Chris Ferrie - an expert on physics, maths and science - this is the perfect book for enlightening the next generation of geniuses. It's never too early to become a mathematician or scientist!
This book features board book pages that are easy for small hands to turn, with fun illustrations that demonstrate the concepts behind AI as simply as possible. Artificial Intelligence for Babies is the perfect entry point for any young mind to begin grasping this exciting area of modern computing, and an excellent addition to the acclaimed Baby University series.
Discover more from the bestselling Baby University series:
Rocket Science for Babies
Neural Networks for Babies
Organic Chemistry for Babies
Quantum Computing for Babies
Bayesian Probability for Babies
...and many more!
Chris Ferrie is an award-winning physicist and Senior Lecturer for Quantum Software and Information at the University of Technology in Sydney. He has a Masters in applied mathematics, BMath in mathematical physics and a PhD in applied mathematics. He lives in Australia with his wife and children.
More details
Series
Language
English
Place of publication
United States
Publishing group
Sourcebooks, Inc
Target group
Children/juvenile
Interest Age: From 0 to 3 years
Dimensions
Height: 200 mm
Width: 200 mm
Thickness: 15 mm
Weight
378 gr
ISBN-13
978-1-4642-2145-3 (9781464221453)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Chris Ferrie
Artificial Intelligence for Babies
E-Book
07/2024
Sourcebooks Explore
€6.49
Available for download
Person
Chris Ferrie is an award-winning physicist and Senior Lecturer for Quantum Software and Information at the University of Technology Sydney. He has a Masters in applied mathematics, BMath in mathematical physics and a PhD in applied mathematics. He lives in Australia with his wife and children.