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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+
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.
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Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.
"Get ready to dive into the world of Artificial Intelligence (AI) with "AI Smart Kids - Teaching Kids of Every Age About Artificial Intelligence". This comprehensive guide is perfect for kids and parents alike, and has been approved by teenagers and their parents, making it the only 100% kid-friendly book on AI. Co-authored by a retired registered investment advisor and his 19-year-old daughter, this book provides a clear and accessible introduction to topics such as machine learning, neural networks, deep learning, natural language processing (NLP), computer vision, and robotics. Learn about the impact of AI on industries like business, healthcare, education, finance, and security, as well as important ethical considerations. Part of a four-book series including "Bitcoin Smart Kids", "Blockchain Smart Kids", and "Metaverse Smart Kids", "AI Smart Kids" is a must-read for anyone looking to understand the exciting world of AI and its role in shaping our future. Get your hands on this groundbreaking guide today and start your journey into the fascinating world of Artificial Intelligence!"
AI is all around us today, in more places than you think! This book covers the basics of artificial intelligence and machine learning for children, with concepts that range from the very first ideas about A.I. through the latest algorithms that today's leading computer scientists are working on. For illustration, the book uses real-world examples of today's A.I., including cool applications in the fields of music, art, poetry, language, robotics, cars, rockets, video games, and more. Designed for readers who may not have a background in computers or programming, the book touches on math, computer architecture, logic, and simple programming ideas, along with activities that students can try themselves. We discuss some of the social and ethical implications of artificial intelligence from various angles, including public safety, bias, and more. With inset historical facts, illustrations, and bits of trivia about AI and computing in each chapter, the book contains the essential knowledge that a young person needs to understand how and why the world of A.I. has come to be, and quite possibly, where it's headed in the very near future.
So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars?
"Artificial Intelligence Explained: A Kid-Friendly Guide to AI and Machine Learning" is an engaging journey that demystifies the world of AI for young minds and curious learners. From the origins of AI to its astounding applications in everyday life, this book unveils the secrets behind smart devices, gaming, medicine, and more. With relatable explanations, captivating stories, and interactive projects, readers discover the inner workings of AI, explore its ethical implications, and envision a future where they become AI innovators. Packed with knowledge and inspiration, this book equips young readers with the tools to understand, embrace, and shape the technological world around them.
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+