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What is not AI? AI and Related Terminologies
Domains of AI AI Ethics
AI Ready-1 147
Unit-2 AI Project Cycle 148
Introducing AI Project Cycle Stages of AI Project Cycle
Neutral Network
AI Ready-2 173
Unit-3 Advance Python 174
Introduction to Anaconda Understanding Jupyter Notebook
What is a Virtual Environment? Working with Jupyter Notebook
Introduction to Python Why Python for Artificial Intelligence
Applications of Python Recap of Python Basics
Unit-4 Data Science 211
What is Data Science? Applications of Data Science
Revisiting AI Project Cycle Data Collection
Python for Data Science Data Access in Python
Statistical Learning with Python Data Visualisation in Python
Personality Prediction Understanding K-Nearest Neighbour Model (K-NN)
AI Ready-3 247
Unit-5 Computer Vision 248
Computer Vision-Definition Applications of Computer Vision
Difference Between Computer Vision and Human Vision Tasks in Computer Vision Applications
What are Pixels? Basics of Images
How do Computers see Images? Image Features
Introducing OpenCV Image Processing Operations
Understanding Convolution Operator What is Neural Network?
What is Convolutional Neural Network (CNN)?
AI Ready-4 278
Unit-6 Natural Language Processing 279
What is NLP? Process involved in NLP
Applications of Natural Language Processing Revisiting AI Project Cycle
What are Chatbots? Different Types of Chatbots
Human Language Vs Computer Language Data Processing
Techniques of Natural Language Processing
AI Ready-5 309
Unit-7 Evaluation 310
Understanding Evaluation Importance of Evaluation
• Reasons for Inefficiency of AI Model Terminologies of Model Evaluation
Confusion Matrix Terminologies of Confusion Matrix
Evaluation Matrix for AI Model
Part C Practical Work
Python Practical Questions 331
Viva Voce Questions 342
Projects (Hints for Part D) 344
AI Glossary 348
AI Innovators 349
Model Test Paper 350
CBSE Sample Question Paper 350
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