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Author: Dale Lane
Publisher: No Starch Press
ISBN: 1718500572
Category : Computers
Languages : en
Pages : 290
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Book Description
A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. 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, award-winning 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! As you work through the book 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 their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+
Author: Dale Lane
Publisher: No Starch Press
ISBN: 1718500572
Category : Computers
Languages : en
Pages : 290
Get Book Here
Book Description
A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides young readers through creating compelling AI-powered games and applications using the Scratch programming language. 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, award-winning 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! As you work through the book 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 their accuracy. You'll turn your models into fun computer games and apps, and see what happens when they get confused by bad data. You'll build 13 projects step-by-step from the ground up, including: • Rock, Paper, Scissors game that recognizes your hand shapes • An app that recommends movies based on other movies that you like • A computer character that reacts to insults and compliments • An interactive virtual assistant (like Siri or Alexa) that obeys commands • An AI version of Pac-Man, with a smart character that knows how to avoid ghosts NOTE: This book includes a Scratch tutorial for beginners, and step-by-step instructions for every project. Ages 12+
Author: Dr Dhoot
Publisher:
ISBN: 9781732508002
Category :
Languages : en
Pages : 26
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Book Description
Simple concepts about up-and-coming science and technology to kick-start your future genius! Machine Learning for Babies & Toddlers is a great way to introduce basic concepts about machine learning, an exploding field that will be like electricity to our future generation. Familiarize your little one with what machines are and they can learn, just like us! The colorful, beautiful, and visually stimulating illustrations encourage the child's sense of wonder and curiosity (and might stimulate your senses too)! Levels of learning: Level 1 baby basics in black text and Level 2 in purple text for toddlers to build on. Look for other books by Tinker Toddlers(TM) Artificial Intelligence for Babies & Toddlers and Solar System for Babies & Toddlers
Author: Peter Van den Ende
Publisher: Levine Querido
ISBN: 1646140699
Category : Juvenile Fiction
Languages : en
Pages : 96
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Book Description
Society of Illustrators, Dilys Evans Founder's Award Winner A New York Times Best Book of 2020 A Wall Street Journal Best Book of 2020 PRAISE "Electrifying. Extraordinary. Enigmatic and gorgeous." —The Wall Street Journal "An epic dream captured in superbly meticulous detail." —Shaun Tan "Danger, magic, surprise and awe abound in this masterly, wordless debut." —The New York Times "I love Van den Ende's passion." —Brian Selznick, New York Times Book Review STARRED REVIEWS ★ "Marvelously engrossing—a triumph." —Kirkus Reviews, starred review ★ "Remarkable. Absolutely sui generis." —Booklist, starred review Without a word, The Wanderer presents one little paper boat's journey across the ocean, past reefs and between icebergs, through schools of fish, swaying water plants, and terrifying sea monsters. The little boat is all alone, and while its aloneness gives it the chance to wonder at the fairy-tale world above and below the waves, that also means it must save itself when it storms. And so it does. Readers young and old will find the strength and inspiration in this quietly powerful story about growing, learning, and life's ups and downs.
Author: Chris Ferrie
Publisher: Sourcebooks, Inc.
ISBN: 149267382X
Category : Juvenile Nonfiction
Languages : en
Pages : 26
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Book Description
Fans of Chris Ferrie's ABCs of Economics, ABCs of Space, and Organic Chemistry for Babies will love this introduction to neural networks 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. Neural Networks for Babies by Chris Ferrie is a colorfully simple introduction to the study of how machines and computing systems are created in a way that was inspired by the biological neural networks in animal and human brains. With scientific and mathematical information from an expert, this installment of the Baby University board book series is the perfect book for enlightening the next generation of geniuses. After all, it's never too early to become a scientist! If you're looking for programming for babies, coding for babies, or more Baby University board books to surprise your little one, look no further! Neural Networks for Babies offers fun early learning for your little scientist!
Author: Shan-e-Fatima
Publisher: Blue Rose Publishers
ISBN:
Category : Education
Languages : en
Pages : 189
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Book Description
With the use of machine learning (ML), which is a form of artificial intelligence (AI), software programmers may predict outcomes more accurately without having to be explicitly instructed to do so. In order to forecast new output values, machine learning algorithms use historical data as input. Machine learning is frequently used in recommendation engines. Business process automation (BPA), predictive maintenance, spam filtering, malware threat detection, and fraud detection are a few additional common uses. Machine learning is significant because it aids in the development of new goods and provides businesses with a picture of trends in consumer behavior and operational business patterns. For many businesses, machine learning has emerged as a key competitive differentiation. The fundamental methods of machine learning are covered in the current book.
Author: John D. Kelleher
Publisher: MIT Press
ISBN: 0262361108
Category : Computers
Languages : en
Pages : 853
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Book Description
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.
Author: Rocket Baby Club
Publisher: Rocket Baby Club
ISBN: 9781645164302
Category : Juvenile Nonfiction
Languages : en
Pages : 36
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Book Description
Eric the ladybug is an artist and traveler. He went to a mountain to watch the sunset and drew a painting of it. The next day when he woke up, he feels so thirsty and needs to find some water to drink. Will he be able to find the lowest point near him in order to find a water source? After an adventure with Eric the thirsty ladybug, you will know the most important intuition in machine learning, gradient descent.
Author: Shai Shalev-Shwartz
Publisher: Cambridge University Press
ISBN: 1107057132
Category : Computers
Languages : en
Pages : 415
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Book Description
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Author: Dhoot
Publisher:
ISBN: 9781732508088
Category : Juvenile Nonfiction
Languages : en
Pages : 30
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Book Description
Machine Learning is the ability of computers to learn without being programmed. Follow all the tinker toddlers (colorful robots, toddlers, and machines) as they toddle through the ABCs of Machine Learning! A is for Artificial Intelligence B is for Brain C is for Computer From artificial intelligence to neural networks, to robots and zzz's, ABCs of Machine Learning is a great way to introduce basic concepts about machine learning, an exploding field that will be like electricity to our future generation. The vibrant, beautiful, and visually stimulating illustrations encourage the child's sense of wonder and curiosity as they learn their ABCs (and might stimulate your senses too)! The book includes two levels of learning! Level 1 baby basics in black text and Level 2 in purple text for toddlers to build on. Also in the Tinker Toddlers Series: Machine Learning for Babies & Toddlers Artificial Intelligence for Babies & Toddlers Neural Networks for Babies & Toddlers
Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119724015
Category : Computers
Languages : en
Pages : 471
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Book Description
One of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021) Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.
