AI Glossary
What is Machine Learning (ML)?
A way of building AI where the computer learns patterns from examples (data) instead of being programmed with fixed rules for every situation.
In traditional programming, a developer writes rules: "if the amount is above ₹50,000, flag it". In machine learning, the system is shown many examples, such as thousands of transactions marked "normal" or "suspicious", and it learns the patterns by itself.
Machine learning is the foundation of most modern AI, including the large language models behind chat assistants.
Everyday examples: predicting which emails are spam, estimating delivery times, recommending videos, and detecting unusual card transactions.
Why it matters for you: a machine learning system is only as good as the data it learned from. If the examples were incomplete or biased, the results will be too. See also Training Data and AI Bias.