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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: Dale Lane
Publisher: No Starch Press
ISBN: 1718500564
Category : Computers
Languages : en
Pages : 290
Get Book Here
Book Description
A hands-on, application-based introduction to machine learning and artificial intelligence (AI). Create compelling AI-powered games and applications using the Scratch programming language. 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 There’s no experience required and step-by-step instructions make sure that anyone can follow along! No Experience Necessary! Ages 12+
Author: Jason Boog
Publisher: Simon and Schuster
ISBN: 1476749817
Category : Education
Languages : en
Pages : 336
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Book Description
A program for parents and professionals on how to raise kids who love to read, featuring interviews with childhood development experts, advice from librarians, tips from authors and children’s book publishers, and reading recommendations for kids from birth up to age five. Every parent wants to give his or her child a competitive advantage. In Born Reading, publishing insider (and new dad) Jason Boog explains how that can be as simple as opening a book. Studies have shown that interactive reading—a method that creates dialogue as you read together—can raise a child’s IQ by more than six points. In fact, interactive reading can have just as much of a determining factor on a child’s IQ as vitamins and a healthy diet. But there’s no book that takes the cutting-edge research on interactive reading and shows parents, teachers, and librarians how to apply it to their day-to-day lives with kids, until now. Born Reading provides step-by-step instructions on interactive reading and advice for developing your child’s interest in books from the time they are born. Boog has done the research, talked with the leading experts in child development, and worked with them to compile the “Born Reading Essential Books” lists, offering specific titles tailored to the interests and passions of kids from birth to age five. But reading can take many forms—print books as well as ebooks and apps—and Born Reading also includes tips on how to use technology the right way to help (not hinder) your child’s intellectual development. Parents will find advice on which educational apps best supplement their child’s development, when to start introducing digital reading to their child, and how to use tech to help create the readers of tomorrow. Born Reading will show anyone who loves kids how to make sure the children they care about are building a powerful foundation in literacy from the beginning of life.
Author: Angie Smibert
Publisher: Build It Yourself
ISBN: 9781619306752
Category : Juvenile Nonfiction
Languages : en
Pages : 0
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Book Description
Explore how machines develop into thinking, learning devices that can help humans perform tasks, make decisions, and work more efficiently.
Author: Veronica Barassi
Publisher: MIT Press
ISBN: 0262044714
Category : Computers
Languages : en
Pages : 233
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Book Description
An examination of the datafication of family life--in particular, the construction of our children into data subjects. Our families are being turned into data, as the digital traces we leave are shared, sold, and commodified. Children are datafied even before birth, with pregnancy apps and social media postings, and then tracked through babyhood with learning apps, smart home devices, and medical records. If we want to understand the emergence of the datafied citizen, Veronica Barassi argues, we should look at the first generation of datafied natives: our children. In Child Data Citizen, she examines the construction of children into data subjects, describing how their personal information is collected, archived, sold, and aggregated into unique profiles that can follow them across a lifetime.
Author: Gary Marcus
Publisher: Vintage
ISBN: 1524748269
Category : Computers
Languages : en
Pages : 288
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Book Description
Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
Author: Nancy Dickmann
Publisher:
ISBN: 153825266X
Category : Juvenile Nonfiction
Languages : en
Pages : 34
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Book Description
Robots are a lot more complex than you think! Readers will discover different tasks robots handle in the world and how robots are put together. This book explores how robots ingest data from their surroundings, and how they function. Budding engineers will also discover some of the intricacies of artificial intelligence, including what it takes to make a machine that can pass as a human. Compelling infographics and simple language make complex mechanics easier to understand. There's a lot to discover about robots, let the journey begin!
Author: Hans Moravec
Publisher: Harvard University Press
ISBN: 9780674576186
Category : Computers
Languages : en
Pages : 228
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Book Description
"A dizzying display of intellect and wild imaginings by Moravec, a world-class roboticist who has himself developed clever beasts . . . Undeniably, Moravec comes across as a highly knowledgeable and creative talent--which is just what the field needs".--Kirkus Reviews.
Author: Raj Sidhu
Publisher:
ISBN: 9781791955830
Category :
Languages : en
Pages : 149
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Book Description
Become a coding super-genius and create incredible projects with Scratch 3 - the newest version of the most powerful coding language for kids!This beautifully illustrated, hilariously written, and delightfully engaging step-by-step guide is designed for kids (ages 8+) to learn the fundamentals of coding and apply them to amazingly innovative projects. Readers will learn to use the incredible new features of Scratch 3 to build projects that not only teach them to code, but also inspire them to pursue today's most exciting frontiers of technology: Artificial Intelligence Video Game Bots Machine Learning Augmented Reality Multiplayer Computer Games The tried-and-true teaching methods featured in this book were developed by author Raj Sidhu and have been used to teach hundreds of thousands of children around the world how to code.
Author: Prashant Natarajan
Publisher: CRC Press
ISBN: 1351032925
Category : Computers
Languages : en
Pages : 465
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Book Description
Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.
