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Machine Learning for Kids
A Project-Based Introduction to Artificial Intelligence
By: Dale Lane
Paperback | 9 January 2021
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AI Made Easy with 13 Projects
Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help.
Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based companion website, you’ll see how easy it is to add machine learning to your own projects. You don’t even need to know how to code!
Step by easy step, you’ll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve them.
You’ll turn your models into 13 fun computer games and apps, including:
- A Rock, Paper, Scissors game that recognizes your hand shapes
- A computer character that reacts to insults and compliments
- An interactive virtual assistant (like Siri or Alexa)
- A movie recommendation app
- An AI version of Pac-Man
No Experience Necessary! Ages 12+
About the Author
Dale Lane is an award-winning, UK-based software developer for IBM, where he's worked on IBM's (AI) Watson platform since 2011. The father of two children, he's gained distinction working on projects and games that help explain core principles of machine learning to younger students. Lane's free companion website for this book is now used in thousands of schools, and has received worldwide acclaim.
ISBN: 9781718500563
ISBN-10: 1718500564
Published: 9th January 2021
Format: Paperback
Language: English
Number of Pages: 392
Audience: General Adult
For Ages: 12 - 14 years old
For Grades: 4 - 6
Publisher: RANDOM HOUSE US
Country of Publication: GB
Dimensions (cm): 28.5 x 20 x 3.5
Weight (kg): 0.56
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You Can Find This Book In
This product is categorised by
- Non-FictionComputing & I.T.Computer Programming & Software DevelopmentAlgorithms & Data Structures
- Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceNatural Language & Machine Translation
- Non-FictionPolitics & GovernmentPolitical Science & Theory
- Non-FictionLanguage & LinguisticsLinguisticsComputational Linguistics
- Non-FictionComputing & I.T.Computer ScienceArtificial IntelligenceMachine Learning