Artificial Intelligence for Babies
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Artificial Intelligence for Babies
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See moreDescription
Introduce your little one to the fascinating world of artificial intelligence with Artificial Intelligence for Babies by Chris Ferrie. This delightful board book is part of the renowned Baby University series, designed to present complex scientific concepts in a simple and engaging manner.
Specially crafted for young minds, Artificial Intelligence for Babies takes readers on a journey to discover how AI operates. Through vivid illustrations and easy-to-understand text, children will learn about the basic principles of artificial intelligence, including how machines can learn from data, make decisions, and even mimic human problem-solving skills.
Parents and educators alike will appreciate the clarity and simplicity with which complex ideas are presented, making it suitable for both babies and grownups! The book encourages early cognitive development and nurtures curiosity, making science accessible and enjoyable.
Chris Ferrie, a celebrated science communicator and award-winning professor, brings his expertise to this captivating book. Known for his successful titles like Pythagorean Theorem for Babies, Organic Chemistry for Babies, and 8 Little Planets, Ferrie continues to inspire the next generation of thinkers and innovators.
Whether you are an aspiring mathematician, computer scientist, or simply a parent looking to introduce your child to STEM concepts early on, Artificial Intelligence for Babies is the perfect addition to any bookshelf. Give your child the gift of knowledge and ignite their passion for learning with this delightful and educational book.
Product Details
INFORMATION
Barcode: 9781464221453
Publisher: Sourcebooks, Inc
Format: Board book
Date Published: 01 August 2024
Country: United States
Imprint: Sourcebooks Explore
Audience: Children
DIMENSIONS
Length: 14.0mm
Width: 203.0mm
Height: 203.0mm
Weight: 372g
Pages: 24
Series: Baby University
View allAbout the Author
CHRIS FERRIE is an award-winning physicist and is the 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. He believes it is never too early to introduce small children to big ideas.
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