Bayesian Probability for Babies
关于此电子书
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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作者简介
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.
