- Machine Learning (ML):
Training computers to learn from data and make decisions on their own.
Example: Netflix uses ML to recommend movies and TV shows based on what you’ve watched before. - Deep Learning (DL):
A type of ML that uses neural networks to analyze data and make decisions.
Example: Google Photos uses DL to recognize faces and objects in your photos, and automatically organize them. - Natural Language Processing (NLP):
Enabling computers to understand and generate human language.
Example: Siri and Google Assistant use NLP to understand your voice commands and respond accordingly. - Computer Vision:
Allowing computers to interpret and understand visual data from images and videos.
Example: Self-driving cars use computer vision to detect and respond to objects on the road, such as pedestrians and traffic lights. - Big Data:
Using large amounts of data to train AI models and make predictions or decisions.
Example: Amazon uses big data to recommend products based on your browsing and purchase history, and to predict what you might want to buy next.