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What is Unsupervised Learning?

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Unsupervised Learning is a Machine Learning technique where models learn patterns and structures within data without labelled examples. By uncovering hidden relationships and clustering data, businesses can gain insights without predefined classes or outcomes. Unsupervised Learning finds applications in customer segmentation, market basket analysis and anomaly detection.

Other Definitions

Object Detection

Object Detection is an AI technique that identifies and localises objects within an image or video. It involves analysing the visual data and assigning…

Supervised Learning

Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the…

Bayesian Networks

Bayesian networks are Probabilistic Graphical Models that represent and evaluate uncertainty and conditional dependencies between variables. Industries such as healthcare and finance use Bayesian…

Convolutional Neural Network

A convolutional neural network is a powerful deep learning model designed for processing and analysing visual data. It excels in tasks such as image…
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