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Welcome to the incredible world of Artificial Intelligence (AI), a rapidly evolving field reshaping our lives, work, and interactions with the world around us. This book has been specially designed for class six students to serve as an engaging and accessible introduction to the fascinating domain of AI. As you embark on this journey, you will begin to uncover the remarkable potential of AI and its profound impact on various aspects of modern life. This book aims to make AI understandable and approachable for young learners. In an era where technology is a driving force behind many of the changes we see, it is essential to start building a solid foundation of knowledge at an early age. This book has been crafted with the belief that by introducing students to AI concepts and engagingly, we can spark curiosity and foster an enthusiasm for learning that will serve them well in future. What you will find in this book: 1. Clear and Simplified Explanations: • AI concepts are broken down into easy-to-understand explanations, ensuring you can grasp the fundamentals without feeling overwhelmed. 2. Real-World Applications: • Discover how AI is used in everyday life, from voice assistants to recommendation systems, across various fields like healthcare, education, entertainment, etc. 3. Ethical Considerations: • Explore the ethical questions AI raises, such as privacy, job displacement, and decision-making biases, and understand the importance of responsible AI use. 4. Interactive and Hands-On Learning: • Engage with activities and projects that reinforce your understanding of AI concepts and allow you to apply what you've learned in a fun and creative way. Our Vision: We aim to spark a genuine interest in AI, encouraging you to explore and learn more about this fascinating field. This book provides a solid foundation, setting the stage for more profound studies and future opportunities in AI and related areas. We hope to cultivate your curiosity and inspire you to discover AI's endless possibilities. A Journey into the Future: This book marks the beginning of your adventure into Artificial Intelligence. We’re thrilled to accompany you on this exciting path, confident that your exploration of AI will be both enlightening and motivating.
Touchpad Artificial Intelligence series has some salient features such as AI Reboot, AI Deep Thinking, AI in Life, AI Lab and AI Ready which ensures that NEP 2020 guidelines are followed. KEY FEATURES ● National Education Policy 2020 ● AI Game: It contains an interesting game or activity for the students to try on their own or with their classmates to learn how the game mechanics work while having fun. ● Brainy Fact: It presents an interesting fact relevant to the topic or the chapters. ● AI in Life: It presents questions that promotes the moral growth and experiential learning. ● AI Deep Thinking: It presents a question/scenario in which the students are required to think deeply and apply their knowledge. ● Digital Solutions DESCRIPTION Touchpad Artificial Intelligence series has some salient features such as AI Reboot, AI Deep Thinking, AI in Life, AI Lab and AI Ready which ensures that NEP 2020 guidelines are followed. Every chapter has competency based questions as guided by CBSE to ensure that students are capable of applying their learning to solve some real life challenges. There are plenty of Video Sessions for students and teachers to go beyond the syllabus and enrich their knowledge. There are some brainstorming questions in the form of AI Task in between the topics to ensure that students give pause to their learning and use their skills to reach to some creative ideas in solving given problems. WHAT WILL YOU LEARN You will learn about: ● Human-Machine Interaction ● Introduction to AI ● AI in Apps ● Types of Robots ● Myths and Facts of AI WHO THIS BOOK IS FOR Grade 6 TABLE OF CONTENTS (to be filled by author) (Numbered list) 1. Human-Machine Interaction 2. Introduction to AI 3. AI in Apps 4. Types of Robots 5. Myths and Facts of AI 6. AI Ready 7. Projects 8. AI Glossary 9. AI Innovators
Artificial Intelligence: A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
As we move deeper into the 21st century, the role of technology in our lives continues to expand at an unprecedented pace. Among the most transformative technologies of our time is Artificial Intelligence (AI), which is increasingly becoming a cornerstone of innovation in virtually every field. From healthcare and education to entertainment and transportation, AI shapes how we live, work, and interact with the world around us. For today’s students, understanding AI is not just an option—it’s a necessity. This textbook, meticulously crafted for Class 7 students under the CBSE curriculum, is an essential guide to navigating the fascinating and rapidly evolving world of Artificial Intelligence. The primary goal of this book is to understand AI, making it accessible and engaging for young learners. With its technical jargon and complex algorithms, AI can often seem intimidating. However, through this textbook, we have endeavoured to present AI in a clear, relatable, and intriguing. Each chapter is carefully designed to introduce fundamental concepts and principles of AI, ensuring that students not only understand the theoretical aspects but also see the practical relevance of AI in their everyday lives. Whether it’s exploring how AI helps power their favourite apps, understanding how it assists doctors in diagnosing diseases, or learning how it’s used to improve transportation systems, students will see first-hand how AI is woven into the fabric of modern society. We have incorporated various interactive elements throughout the book to make the learning experience more engaging and effective. These include hands-on activities, project-based learning opportunities, and thought-provoking exercises that encourage students to apply what they’ve learned creatively and innovatively. By working through these activities, students will deepen their understanding of AI and develop critical thinking, problem-solving, and analytical skills that are vital in the digital age. This textbook is more than just an introduction to AI—it’s a call to action. It invites students to be curious, experiment, ask questions, and explore AI's vast possibilities. By nurturing curiosity and creativity from a young age, we can empower students to become tomorrow's innovators, thinkers, and leaders. The journey into the world of AI is just beginning, and this book is your companion on that journey, guiding you as you discover, learn, and grow. As you embark on this exciting adventure into Artificial Intelligence, we encourage you to approach each chapter with an open mind and a spirit of exploration. Today’s learners are shaping the future, and we are excited to see the incredible things you will achieve as you dive into the world of AI. Remember, the knowledge you gain today is the foundation for the innovations of tomorrow. We sincerely thank educators, parents, and students who have made this journey possible. We hope this textbook will educate and inspire a passion for learning and a commitment to making the world a better place through the power of Artificial Intelligence.
Artificial Intelligence (AI) is an interdisciplinary science with multiple approaches to solve a problem. Advancements in machine learning (ML) and deep learning are creating a paradigm shift in virtually every tech industry sector. This handbook provides a quick introduction to concepts in AI and ML. The sequence of the book contents has been set in a way to make it easy for students and teachers to understand relevant concepts with a practical orientation. This book starts with an introduction to AI/ML and its applications. Subsequent chapters cover predictions using ML, and focused information about AI/ML algorithms for different industries (health care, agriculture, autonomous driving, image classification and segmentation, SEO, smart gadgets and security). Each industry use-case demonstrates a specific aspect of AI/ML techniques that can be used to create pipelines for technical solutions such as data processing, object detection, classification and more. Additional features of the book include a summary and references in every chapter, and several full-color images to visualize concepts for easy understanding. It is an ideal handbook for both students and instructors in undergraduate level courses in artificial intelligence, data science, engineering and computer science who are required to understand AI/ML in a practical context.
The book unfolds in a logical and progressive manner, beginning with the basics of AI and gradually advancing to more complex topics. Early chapters lay the foundation, introducing readers to the principles of machine learning, neural networks, and the fundamentals of generative algorithms. As we move forward, the focus shifts to more specialized themes such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and applications in various fields like art, music, and natural language processing.
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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+