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

Sentiment Analysis is an AI technique that analyses emotions and opinions expressed in text data. Sentiment analysis can classify text as positive, negative, or…
istributed Computing refers to the use of multiple computers or servers to perform computational tasks in a networked environment. It enables businesses to process…
Facial Recognition is an AI technology that involves identifying and verifying individuals based on their facial characteristics. It analyses facial features such as the…
A convolutional neural network is a powerful deep learning model designed for processing and analysing visual data. It excels in tasks such as image…