| A | B |
|---|
| artificial intelligence | When computers or robots do things that normally need human intelligence, like understanding language or recognizing pictures. |
| machine learning | A way to teach computers to learn from data and improve their skills over time without being specifically programmed for each task. |
| deep learning | A type of machine learning that uses special networks, called neural networks, which are inspired by the human brain, to learn from a lot of data. |
| neural network | A computer system designed to work like the human brain, with interconnected "neurons" that process information. |
| NLP | When computers understand and respond to human language, like talking to Siri or Alexa. |
| computer vision | When computers can see and understand images and videos, like recognizing faces in photos |
| supervised learning | Teaching a computer using examples where we know the correct answers, so it can learn to make predictions. |
| unsupervised learning | Teaching a computer using examples without any correct answers, so it tries to find patterns on its own |
| reinforcement learning | Teaching a computer to make decisions by rewarding it when it does something right, like training a dog with treats. |
| algorithm | A set of rules or steps a computer follows to solve a problem or complete a task. |
| dataset | A collection of information, like a bunch of photos or a list of words, that a computer uses to learn. |
