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What is One-Shot Learning?

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One-Shot learning is an AI approach that enables models to learn from only one or a few examples. This approach is advantageous in tasks where getting large amounts of labelled data is challenging or expensive. One-Shot learning has applications in facial recognition, biometrics, and natural language processing.

Other Definitions

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Probabilistic Graphical Models is a type of statistical model used in Machine Learning and Artificial Intelligence. They represent complex relationships between variables through graphs…

Unsupervised Learning

Unsupervised Learning is a Machine Learning technique where models learn patterns and structures within data without labelled examples. By uncovering hidden relationships and clustering…

Instance-Based Learning

Instance-Based Learning is an AI approach where models make predictions based on similarity to previously seen examples. Instead of generalising from a predefined set…

Clustering

Clustering in AI refers to the process of grouping similar data points together based on their inherent characteristics or attributes. By identifying patterns or…
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