Artificial Intelligence for Class IX

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.

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

Dr. Harsh Bhasin is a researcher and practitioner. Dr. Bhasin is currently associated with Bennett University. Dr. Bhasin has completed his Ph. D. in Diagnosis and Conversion Prediction of Mild Cognitive Impairment Using Machine Learning from Jawaharlal Nehru University, New Delhi. He worked as a deep learning consultant for various firms and taught at various universities including Jamia Hamdard, MRU, MRIIRS, and DTU.

He has authored 11 books including programming in C#, Oxford University Press, 2014; Algorithms, Oxford University Press, 2015; Python for Beginners, New Age International, 2018; Python Basics, Mercury, 2019; Machine Learning, BPB, 2020, to name a few.

Dr. Bhasin has authored more than 40 papers published in conferences and renowned journals including Alzheimer’s and Dementia, Soft Computing, Springer, BMC Medical Informatics and Decision Making, AI and Society, etc. He is the reviewer of a few renowned journals and has been the editor of a few special issues. He has been a recipient of Visvesvaraya fellowship.

His areas of expertise include deep learning, algorithms, and medical imaging. Outside work, he is deeply interested in Hindi Poetry: the progressive era, and Hindustani Classical Music: percussion instruments.

Vishal Deshwal is a researcher and industry professional in the fields of deep learning and natural language processing. He is currently pursuing a PhD in periodic activation functions at the International Centre for Neuromorphic Systems (ICNS), Sydney, and works as a Senior Data Scientist at Western Sydney University. His research focuses on innovative neural network architectures and their applications in various domains.

Vishals published work includes research on the diagnosis of Mild Cognitive Impairment (MCI) using deep learning and dimension reduction techniques, as well as the classification of MCI subtypes with advanced neural network models and local binary patterns. At Western Sydney University, his work involves natural language processing and predictive modeling, contributing to the development of sophisticated models for analyzing text data and making accurate predictions.