Machine Learning
Machine Learning
An AI technology that learns rules and patterns from large amounts of data to make predictions and classifications.
In Simple Terms
Machine learning is a technology where computers are given large amounts of data and automatically find rules and patterns within it. For example, feed a computer many photos of cats, and it learns on its own — picking up on things like ear shape and whisker features — so that when you show it a new photo, it can recognize, "That's a cat!" What makes it special is that computers can discover these patterns from data automatically, without needing detailed step-by-step instructions from humans.
Behind the Name
The name says it all — "Machine Learning" literally means machines (computers) that learn. Instead of humans writing out every single instruction, the computer figures out the rules on its own by studying data. It's a fitting name for technology that gets smarter the more data it sees.
Take a Closer Look!
Machine learning is a technology where a computer reads large amounts of data and automatically learns rules and patterns from it.
Traditional programs required humans to manually write instructions like "if A, then do B." With machine learning, humans define how the learning should happen, then use data to let the computer build the rules itself.
Here's how it works: you start by feeding in a large dataset as "training data."
The computer then finds hidden features and patterns within that data, and compiles them into something called a "model" — something like a mathematical formula.
Using this model, the computer can make predictions with new data or classify what something is.
There are three main types: "supervised learning," "unsupervised learning," and "reinforcement learning."
The choice depends on whether you provide labeled answer data for training, have the computer find patterns on its own, or let it learn through trial and error with rewards.
Deep learning is also one form of machine learning.