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What is Supervised Learning?

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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

Federated Learning

Federated Learning is a privacy-preserving technique where AI models are trained across multiple decentralised devices or systems without sharing raw data. Instead, only aggregated…

Incremental Learning

Incremental Learning is an AI technique that allows models to continuously learn from new data without retraining from scratch. Instead of training the model…

Weak AI

Weak AI, also known as Narrow AI, refers to AI systems designed to perform specific tasks with human-like intelligence, but without true general intelligence….
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