A Textbook of Artificial Intelligence for Class IX (A.Y. 2023-24)Onward


Book Description

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.




Artificial Intelligence Class 9


Book Description

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




AI - Artificial Intelligence Basics For School Students (Class IX)


Book Description

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.




AI - Artificial Intelligence Basics For School Students (Class IX): As Per the Latest CBSE Curriculum (Code No. 417)


Book Description

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 for Class IX


Book Description

DESCRIPTION Artificial Intelligence for Class IX introduces young learners to the exciting world of AI, perfect for students at your level. This book covers the basics of AI, its real-life applications, and how it is changing industries like gaming, transportation, and more. As a Class IX student, you will gain a solid foundation in AI and learn how it is used to solve everyday problems and create innovative solutions. This book is designed for IX-grade students to introduce them to key concepts in data science, programming, and AI. It covers the basics of gathering and exploring data and introduces programming, focusing on Python, a popular language for AI. In addition, it highlights the importance of technology and its environmental impact, teaching students about Information and Communication Technology (ICT) and green skills. The book makes learning interactive with real-life examples, relatable explanations, and activities that engage students. Each chapter includes exercises to apply their new knowledge, from coding tasks to reflecting on communication skills. This hands-on approach ensures students grasp these essential topics, setting them up for success in both academics and future careers. By the end of this book, you will be equipped with the knowledge and skills to explore the exciting world of AI. You will be able to understand how AI works, create simple AI projects, and develop the critical thinking and problem-solving abilities needed to thrive in the age of AI. KEY FEATURES ● Covers AI, neural networks, and AI project cycle. ● Introduces the fundamentals of each topic with detailed explanations, real-life examples, and relatable analogies. ● Contains projects and exercises to provide practical experience and a better understanding. WHAT YOU WILL LEARN ● Basics of programming, specifically Python. ● Fundamentals of AI and ML. ● Process of understanding data acquisition, exploration, and modeling. ● Importance of key soft skills like communication, self-management, and entrepreneurial skills. ● ICT skills and green skills WHO THIS BOOK IS FOR Class IX students of CBSE schools, students of any other board and any other learner interested in learning AI and Python. TABLE OF CONTENTS 1. Introduction to Artificial Intelligence 2. Artificial Intelligence Life Cycle 3. Problem Scoping 4. Data Acquisition 5. Data Exploration 6. Data Modeling 7. Introduction to Machine Learning and Neural Networks 8. Basics of Programming 9. Introduction to Python 10. Lists 11. Communication Skills 12. Self-Management Skills 13. Communication Technologies 14. Entrepreneurship Skills 15. Green Skills




Artificial Intelligence for Cbse Class IX.


Book Description

Amply supported by illustrative diagrams, keywords and topic highlights, this book is an ideal text that helps students build a firm foundation in the subject.




Artificial Intelligence


Book Description

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.




Artificial Intelligence


Book Description

This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories: Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1through 5. Inductive Learning Methods: These methods start with examples and use statistical methods in order to arrive at hypotheses. Examples include regression modeling, support vector machines, neural networks, reinforcement learning, unsupervised learning, and probabilistic graphical models. These methods are discussed in Chapters~6 through 11. Integrating Reasoning and Learning: Chapters~11 and 12 discuss techniques for integrating reasoning and learning. Examples include the use of knowledge graphs and neuro-symbolic artificial intelligence. The primary audience for this textbook are professors and advanced-level students in computer science. It is also possible to use this textbook for the mathematics requirements for an undergraduate data science course. Professionals working in this related field many also find this textbook useful as a reference.