War Against Bats: Machine Learning For Kids: Mean Shift

Author:   Rocket Baby Club
Publisher:   Rocket Baby Club
ISBN:  

9781646065240


Pages:   38
Publication Date:   20 May 2019
Recommended Age:   From 4 to 8 years
Format:   Hardback
Availability:   In stock   Availability explained
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War Against Bats: Machine Learning For Kids: Mean Shift


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Overview

Artificial intelligence (AI) and machine learning is finally accessible to everyone, including kids! Conceived by professional researchers and scientists at top U.S. universities, this book combines engaging stories, well-illustrated pictures, and kid-friendly writing to communicate scientific breakthroughs. Turn the young minds you love into scientific geniuses! In this book, readers are in the midst of an epic war between the ladybugs and the bats. The ladybugs are too small and are no match for the bats, so they have to use their brains to win. To win in war, the ladybugs have to locate where King and Queen Bat are. How can they do this when King and Queen Bat are surrounded by bat soldiers? Machine learning, in particular the mean shift algorithm, gives a fascinating answer! This book is a part of Rocket Baby Club's Machine Learning Series. In an age where computers and robots are becoming smarter and smarter, Rocket Baby Club offers unique educational solutions to help the next generation understand rapid developments in technology. Join Rocket Baby Club to become a Rocket Baby now!

Full Product Details

Author:   Rocket Baby Club
Publisher:   Rocket Baby Club
Imprint:   Rocket Baby Club
Dimensions:   Width: 21.60cm , Height: 0.60cm , Length: 21.60cm
Weight:   0.322kg
ISBN:  

9781646065240


ISBN 10:   1646065247
Pages:   38
Publication Date:   20 May 2019
Recommended Age:   From 4 to 8 years
Audience:   Children/juvenile ,  Children / Juvenile
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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