Concept:
Artificial Intelligence (AI) is divided into different domains based on the type of data and tasks involved.
The three major domains are:
Data Science
Computer Vision (CV)
Natural Language Processing (NLP)
Step 1: Data Science.
Deals with structured data like numbers, tables, and statistics.
Focuses on extracting insights and making predictions.
Uses techniques like data analysis, machine learning, and visualization.
Applications:
Sales prediction
Recommendation systems (Netflix, Amazon)
Fraud detection
Weather forecasting
Step 2: Computer Vision (CV).
Enables machines to see and interpret visual data.
Works with images and videos.
Uses deep learning and image processing techniques.
Applications:
Face recognition
Self-driving cars
Medical image analysis
Object detection (CCTV surveillance)
Step 3: Natural Language Processing (NLP).
Allows machines to understand and generate human language.
Works with text and speech data.
Combines linguistics and machine learning.
Applications:
Chatbots and virtual assistants
Language translation (Google Translate)
Sentiment analysis
Speech recognition
Step 4: Comparison of domains. Conclusion:
Data Science analyzes numerical data, Computer Vision interprets visual content, and NLP enables machines to understand human language — together forming the core domains of AI.
