Bayesian Probability for Babies by Chris Ferrie (2019, Children's Board Books) online kaufen

Über dieses Produkt

Product Identifiers

PublisherSourcebooks, Incorporated

ISBN-101492680796

ISBN-139781492680796

eBay Product ID (ePID)14038670379

Product Key Features

Book TitleBayesian Probability for Babies

Number of Pages24 Pages

LanguageEnglish

Publication Year2019

Topicconcepts / Counting & Numbers, Mathematics / Fractions, Mathematics / General

IllustratorYes

GenreJuvenile Nonfiction

AuthorChris Ferrie

Book SeriesBaby University Ser.

FormatChildren's Board Books

Dimensions

Item Height1 in

Item Weight13.6 Oz

Item Length8 in

Item Width8 in

Additional Product Features

Intended AudienceJuvenile Audience

LCCN2019-026227

Dewey Edition23

Grade FromPreschool

Dewey Decimal519.542

Grade ToKindergarten

SynopsisFans of Chris Ferrie's Rocket Science for Babies , Astrophysics for Babies , and 8 Little Planets will love this introduction to the basic principles of probability for babies and toddlers! Help your future genius become the smartest baby in the room! It only takes a small spark to ignite a child's mind. If you took a bite out of a cookie and that bite has no candy in it, what is the probability that bite came from a candy cookie or a cookie with no candy? You and baby will find out the probability and discover it through different types of distribution. Yet another Baby University board book full of simple explanations of complex ideas written by an expert for your future genius! If you're looking for baby math books, probability for kids, or more Baby University board books to surprise your little one, look no further! Bayesian Probability for Babies offers fun early learning for your little scientist!, Age range 0 to 3 Help your future genius become the smartest baby in the room by introducing them to Bayesian probability with the next instalment of the Baby University board book series! Set the children in your life on a lifelong path to learning. Full of scientific information from notable experts, this is the perfect book to teach complex concepts in a simple, engaging way. Bayesian Probability for Babies is a colourfully simple introduction to the principles of probability. It's never too early to become a scientist!, 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., Bayesian Probability for Babies is a colorfully simple introduction to the basic principles of probability. If you took a bite out of a cookie and that bite has no candy in it, what is the probability that bite came from a candy cookie or a cookie with no candy? You and baby will find out the probability and discover it through different types of distribution. Yet another book of simple explanations of complex ideas for your future genius Baby University: It only takes a small spark to ignite a child's mind.

LC Classification NumberQA273.16.F47 2019