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A Textbook of Artificial Intelligence for Class 9
Touchpad AI series has some salient features such as AI Game, AI Lab. KEY FEATURES (5-7 points)(each point should be 70 characters with space)(to be filled by author) ● National Education Policy 2020 ● AI Game: It contains an interesting game or activity for the students. ● AI Lab: It contains questions to improve practical skills. ● Brainy Fact: It is an interesting fact relevant to the topic. ● AI Glossary: This section contains definition of important AI terms. ● 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. The series is written keeping in mind about the future and scope that lies in Artificial Intelligence. The knowledge is spread in a phased manner so that at no age the kid finds it difficult to understand the theory. There are some brainstorming activities 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. 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. WHAT WILL YOU LEARN You will learn about: ● Communication skills ● Management skills ● Fundamentals of computers ● ICT Tools ● Entrepreneurship ● Green Skills ● Introduction to AI ● Neural Networks ● AI Project Cycle ● Introduction to Python WHO THIS BOOK IS FOR Grade - 9 TABLE OF CONTENTS 1. Part A Employability Skills a. Unit-1 Communication Skills-I b. Unit-2 Self-Management Skills-I c. Unit-3 ICT Skills-I d. Unit-4 Entrepreneurial Skills-I e. Unit-5 Green Skills-I 2. Part B Subject Specific Skills a. Unit-1 Introduction to AI b. Unit-2 AI Project Cycle c. Unit-3 Neural Networks d. Unit-4 Introduction to Python 3. Part C Practical Work a. Python Practical Questions b. Viva Voce Questions 4. IDEs for Python 5. Projects 6. AI Glossary 7. AI Innovators 8. Model Test Paper 1 9. Model Test Paper 2
The concept of Robotics and Artifldal Intelligence (AI) has been in practice over the years with the advent of technological progress overtime and is transforming our world in profound and unprecedented ways, with the potential to revolutionise virtually every aspect of our lives. From self-driving cars and personal assistants to medical diagnosis and financial forecasting, AI is rapidly becoming an indispensable tool for solving complex problems and unlocking new opportunities for innovation and progress. As the world becomes increasingly complex and interconnected, robotics has emerged as a critical field that is revolution ising how we live, work and interact with our environment. From manufacturing and transportation to healthcare and education, robots are transforming industries and creating new opportunities for innovation and progress. Keeping this in mind, I.C.S.E. Robotics and Artificial Intelligence for Class 9 has been designed. This book is strictly based on the latest syllabus prescribed by the Council for the Indian School Certificate Examination (CISCE) and is intended to provide a comprehensive overview of the field, exploring the fundamental principles and applications of robotics and AI technology. Based on the latest research and developments in the fields, this book offers a detailed overview of the key concepts and techniques that underpin AI, from machine learning and natural language processing to computer vision and Robotics. This book will provide you with a comprehensive and up-todate understanding of these exciting and rapidly evolving fields keeping in line with ICSE syllabus. Salient Features of this Book • As per the latest syllabus and examination pattern prescribed by the ICSE. • The book is divided into two parts: Part I deals with the Robotics portion. This part consists of three units: Introduction to Robotics, Robot as a System and Concepts in Robotics. Part II deals with the Artificial Intelligence portion. This part consists of rwe units: Introduction to Artificial Intelligence (AI), Role of Data and Information. Evolution of Computing, Introduction to Data and Programming with Python, AI Concepts and AI Project Framework, and Assignments and Laboratory Experiments. • All the concepts explained in a simple language using a step-by-step approach supported by a Lot of illustrations. Chapter-wise Features • Learning Objectives introduces you to the learning outcomes and knowledge criteria covered in the chapter. • Chapter content caters to know about the topic of the chapter which may enrich your knowledge. • Did You Know? provides an interesting piece of knowledge to get the students interested. • Activity encourages students to integrate theory with practice. • Recap sums up the key concepts given in the chapter. • Key Terms are the main terminologies that are present in the chapter. • Each chapter contains an accompanying exercise that will assess students' understanding after they have completed the entire unit by answering the questions given in the exercise. Online Support • E-books (for teachers only). Teadtvs Resource Book • Overview of the chapters • Lesson plan • Answers of the exercise We hope that this book will inspire you to explore the limitless possibilities of Robotics and AI to make meaningful contributions to this dynamic and transformative field. Thus, it is a request to our esteemed readers to share the feedback. suggestions* etc. for the improvement of the book. All your suggestions for the improvement of the book are welcome. -Author
This book, which features artificial intelligence for class IX, targets the learning of concepts as prescribed by the CBSE. The objective of the module is to develop a readiness for understanding and appreciating artificial intelligence and its application in our lives. The units include Excite, Relate, Purpose, Possibilities and AI Ethics which are set to empower students in identify and appreciate AI, describe its applications in daily life and apply and reflect on Human-Machine Interactions. The book also covers the programming in Python as per the prescribed syllabus of the class IX module of the curriculum.
The term "artificial intelligence" may sound intimidating to some, but it has been in use for decades and its applications are more common than you might imagine. It is gaining the spotlight across applications in our personal and professional lives. AI is still at a relatively early stage of development, so that the range of potential applications, have ample scope left for further development. It holds the promise of solving some of the most pressing issues facing society, but also presents challenges such as unethical use of data and potential job displacement. There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives. A1 assists in every area of our lives, whether we're trying to read our emails, get driving directions, get music or movie recommendations. AI is a constellation of technologies that enable machines to act with higher levels of intelligence and emulate the human capabilities of sense, comprehend and act. A1 is not specifically related to computer science. This is a field of study that encompasses human behaviour, biology, psychology, and even language and linguistics. AI presents opportunities to complement and supplement human intelligence and enrich the way people live and work. Artificial Intelligence is being widely recognized to be the power that will fuel this future global digital economy. Countries around the world are becoming increasingly aware of the potential benefits of developing and applying AI. From SIRI to self-driving cars, artificial intelligence (AI) is progressing rapidly. While science fiction often portrays AI as robots with human-like characteristics, AI can encompass anything from Google's search algorithms to IBM's Watson to autonomous weapons. From Amazon shopping recommendations, Facebook image recognition, and personal assistants like Siri, Cortana, and Alexa, your phone is becoming a portal to real-world applications of artificial intelligence. This book is a "glimpse into the future" that illustrates how AI will continue to transform our daily lives in the near future. Digitalisation and the new technological possibilities that artificial intelligence (A1) brings are driving the biggest social and economic changes since the industrial revolution. Without the right political, economic and ethical framework conditions there is a risk of uncontrolled development and a negative impact of AI. Artificial intelligence (A1) is doing a lot of good and will continue to provide many benefits for our modern world, but along with the good, there will inevitably be negative consequences. The sooner we begin to contemplate what those might be, the better equipped we will be to mitigate and manage the dangers. While writing the book, we have tried to keep the explanation simple with lots of examples and illustrations. Lastly, there is always a scope of improvement. Thus, it is a request to our esteemed readers to send the feedback and suggestions etc for the improvement of the book. All your requests are welcome.
This book, which features artificial intelligence for class IX, targets the learning of concepts as prescribed by the CBSE. The objective of the module is to develop a readiness for understanding and appreciating artificial intelligence and its application in our lives. The units include Excite, Relate, Purpose, Possibilities and AI Ethics which are set to empower students in identify and appreciate AI, describe its applications in daily life and apply and reflect on Human-Machine Interactions. The book also covers the programming in Python as per the prescribed syllabus of the class IX module of the curriculum.
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.
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+
Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.
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