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"item_title" : "Computers How Machines Learn for Kids",
"item_author" : [" Khasan Laudry "],
"item_description" : "What if your child could understand the technology shaping their entire future - starting today? Artificial intelligence is everywhere: in the games kids play, the videos they watch, and the apps they use every day. But how does it actually work? Computers: How Machines Learn for Kids breaks down machine learning into clear, friendly explanations any curious child can follow - no coding experience needed. Inside this book, young readers will discover: How computers learn from examples, just like students do in schoolWhat patterns are and why machines are so good at spotting themHow data acts as the food that helps a computer get smarterWhat neural networks are and how they mimic the human brainHow AI sorts information into groups and predicts what comes nextWhy practice makes a learning machine better over timeHow people can trick AI - and what that means for the real worldHow to start teaching a computer yourself with hands-on activitiesPerfect for: Children ages 8-12 who are curious about technology and how it worksParents who want to give their child a head start in STEM and future-ready skillsHomeschool families covering computer science or digital literacyElementary and middle school classrooms exploring AI and emerging technologyGift-givers looking for an educational, engaging present for a tech-curious kidWritten in plain, age-appropriate language with relatable real-world examples, this non-fiction guide makes even the most complex computing ideas feel fun and approachable. From training your first model to understanding why machines sometimes get things wrong, every chapter builds real knowledge and genuine excitement about the world of AI. Give your child the gift of understanding the technology that will define their generation. Scroll up and grab your copy today.",
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Computers How Machines Learn for Kids : A Beginner's Guide to Artificial Intelligence, Neural Networks, and How Technology Thinks
Overview
What if your child could understand the technology shaping their entire future - starting today?
Artificial intelligence is everywhere: in the games kids play, the videos they watch, and the apps they use every day. But how does it actually work? Computers: How Machines Learn for Kids breaks down machine learning into clear, friendly explanations any curious child can follow - no coding experience needed. Inside this book, young readers will discover:- How computers learn from examples, just like students do in school
- What patterns are and why machines are so good at spotting them
- How data acts as the "food" that helps a computer get smarter
- What neural networks are and how they mimic the human brain
- How AI sorts information into groups and predicts what comes next
- Why practice makes a learning machine better over time
- How people can trick AI - and what that means for the real world
- How to start teaching a computer yourself with hands-on activities
Perfect for:
- Children ages 8-12 who are curious about technology and how it works
- Parents who want to give their child a head start in STEM and future-ready skills
- Homeschool families covering computer science or digital literacy
- Elementary and middle school classrooms exploring AI and emerging technology
- Gift-givers looking for an educational, engaging present for a tech-curious kid
Written in plain, age-appropriate language with relatable real-world examples, this non-fiction guide makes even the most complex computing ideas feel fun and approachable. From training your first model to understanding why machines sometimes get things wrong, every chapter builds real knowledge and genuine excitement about the world of AI. Give your child the gift of understanding the technology that will define their generation. Scroll up and grab your copy today.
This item is Non-Returnable
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Details
- ISBN-13: 9783690834803
- ISBN-10: 3690834805
- Publisher: Khasan Laudry
- Publish Date: November 2026
- Dimensions: 8.5 x 5.5 x 0.25 inches
- Shipping Weight: 0.32 pounds
- Page Count: 118
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