This domain focuses on teaching computers to learn from data and make predictions or decisions without being explicitly programmed for every scenario. It uses algorithms to find patterns, trends, and relationships in historical or real-time data. Machine learning can be supervised, where the data is labeled (like predicting house prices from previous sales), unsupervised, where the system finds hidden patterns
Online shopping platforms like Amazon use machine learning to recommend products. By analyzing a customer’s previous purchases and browsing history, the AI predicts what items the customer might like.