Bayesian Probability for Babies - Baby University

3.64 ( 162 Ratings by Goodreads)
Bayesian Probability for Babies

Bayesian Probability for Babies - Baby University

(Author)
3.64 (162 Ratings by Goodreads)
board book
Published: 2 August, 2019
Standard worldwide delivery by Mon, June 29 - Thu, July 2
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Condition: NEW
$14.03
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Description

Teach Your Baby to Think Like a Scientist—Before They Can Even Talk

Unleash your toddler’s natural curiosity with a board book that goes beyond ABCs and 123s. Bayesian Probability for Babies introduces the notion of Bayesian reasoning— a foundational concept in math and AI (Artificial Intelligence)—simplified for the tiniest thinkers.

From physicist and father Chris Ferrie, this engaging STEM board book uses vibrant illustrations and real-world logic to explain how we revise what we know as we gather new clues—an essential skill in science, decision-making, and even everyday life.

Why Families Call It “Brilliantly Simple” and “Surprisingly Fun”:

  • Encourages your child’s cognitive development through early logic and reasoning
  • Bond Over Discovery – Boosts connection and conversation through learning, helping little ones develop a love of logic early on.
  • Introduces a big idea in a way that sparks joy, not confusion
  • A conversation-starting gift that shows you believe in your child’s potential

Whether you’re a data scientist, a teacher, or simply a curious parent, this board book offers an inspiring way to introduce your child to probability, observation, and how we learn. It’s perfect for bedtime read-alouds, classroom use, or your next baby shower gift.

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More Details

Type Book
ISBN13 9781492680796
ISBN10 1492680796
Number Of Pages 24
Item Weight 382 g
Product Dimensions 204 x 204 x 15 mm
Publisher / Reseller Sourcebooks, Inc
Format board book
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GoodReads Reviews

Author's Bio

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.

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