What is Supervised Learning?

Skill Level:

Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the provided examples, supervised learning algorithms can make predictions or classifications on new, unseen data. It is widely used in tasks like spam detection, sentiment analysis, and image recognition.

Other Definitions

ChatOps combines chat platforms and AI technologies to facilitate collaboration and automate tasks within teams. By integrating AI-powered chatbots and communication tools, businesses can…
Time Series Analysis is an AI technique that analyses data points collected over time. This approach involves detecting trends, patterns, and seasonality in the…
Support Vector Machines (SVMs) are Machine Learning algorithms used for classification and regression tasks. SVMs create decision boundaries and maximise the margin between different…
Swarm Intelligence is an AI approach that takes inspiration from the collective behaviour of social animals, such as bees and ants. These algorithms involve…