Intellicode Class 10th part 1

R Online Learning Platform CBSE CODE 417 iNTELLiCODE Artificial Intelligence 10 IN LINE WITH NATIONAL EDUCATION POLICY Key Features l Edusoft Playground – online learning platform. l Edusoft Knowledgeverse – YouTube educational channel. l QR code-based interactive worksheets. l Video-based worksheets. l Online question bank – HOTS & Competency-based. l Contests, quizzes and rewards. An ISO Certified Company

CBSE CODE 417 iNTELLiCODE Artificial Intelligence IN LINE WITH NATIONAL EDUCATION POLICY 10 Concept by: Compiled by: Contributed by: Designed by: Hitesh Saini Sanjay Charadva Gagan Agarwal David Singh Founder & M.D. CLDP, MCA (27 yrs. experience in IT)

A DIALOGUE IN THE CLASSROOM iNTELLiCODE Series on Artificial Intelligence is designed strictly in line with the National Education Policy and the curriculum recommended by the CBSE and promotes the suggested pedagogy to develop AI mindset and the skillset. Ethical implementation of AI, aligned with the sustainable development goals and global green initiatives, is a boon for future careers, industries and a force to usher us into a scientifically advanced yet greener, cleaner and energy-efficient era. HOW TO MAKE BEST OUT OF THIS COURSE? This course should not be considered as a set of chapters. Spend at least 60% of the time on the activities in the chapter. Activities should begin with the briefing by the teacher and should end with a detailed discussion between the teacher and the students, and finally end with a conclusion aligned with the learning outcome. In each new chapter, bring up the topics learnt in the previous chapters and relate them with the current chapter. Learner should feel a flow of understanding the course in its entirety. The development of abstract learning is as important as learning the specific concepts. The delivery of the concepts should be in the form of a dialogue in the classroom. We ensure that this book will not only arouse your deep curiosity for artificial intelligence but also prepare you for the future careers and sustainable future. Happy Learning! For young, curious minds here is the place to be and learn more! www.youtube.com/edusoftknowledgeverse playground.edusoft.co.in Interactive Worksheets Visit playground.edusoft.co.in/interactive-worksheets-on-ai-and-coding or scan the QR Code to learn the concepts the fun way! CybOlympiad Preparation Visit playground.edusoft.co.in/courses/cybolympiad-preparation or scan the QR Code to prepare for forthcoming CybOlympiad.

CONTENTS PART A: Employability Skills PART B: Subject-specific Skills Unit-1 : Communication Skills-II 4 Unit 1: Introduction to AI 49 1. Various methods of Communication 4 1. Foundational Concepts of AI 49 2. Providing and Receiving Feedback 7 2. Basics of Artificial Intelligence 56 3. Communication Barriers and Its Measures 10 3. Applications of Artificial Intelligence 63 4. Principles of Effective Communication 12 4. Artificial Intelligence Ethics 72 5. Basic Writing Skills 13 Unit-2 : Self-Management Skills-II 19 Unit 2: AI Project Cycle 78 1. Stress and Its Effects 19 1. AI Project Cycle: Problem Scoping 78 2. Stress Management Techniques 21 2. AI Project Cycle: Data Acquisition 83 3. Ability to Work Independently 23 3. AI Project Cycle: Data Exploration 89 Unit-3 : ICT Skills-II 26 4. AI Project Cycle: Modelling & Evaluation 96 1. Operating System & Basic File Operations 26 2. Apply Basic Skills for Care & Maintenance of 30 Unit 3: Python Programming 109 Computer 1. Python Basics 109 3. Computer Security & Viruses 32 2. Introduction to Tools for AI 126 Unit-4 : Entrepreneurial Skills-II 40 3. Working with Notebook Documents 133 1. Characteristics of an Entrepreneur 40 4. Python Lists and Tuples 140 2. Role and Significance of an Entrepreneur 41 5. Flow Control and Conditions 149 3. Myths Related to Entrepreneurship 42 6. Python Modules and Packages 158 4. Entrepreneurship As A Career Option 43 Unit-5 : Green Skills-II 45 Unit 4: Data Science 168 1. Understanding Sustainable Development 45 2. Importance of Sustainable Development 46 1. Introduction to Data Science 168 2. AI Project Cycle Framework and Data Science 183 3. Basic Statistics, Data Exploration 190 and Visualisation 204 4. Classification Model Unit 5: Computer Vision 211 1. Introduction to Computer Vision 211 2. Introduction to OpenCV 222 3. Convolution and CNN 232 Unit 6: Natural Language Processing 240 1. Introduction to Natural Language Processing 240 2. NLP: AI Project Cycle 246 3. How NLP Works 252 Unit 7: Evaluation 264 1. Model Evaluation 264 Projects 272