What is Recommender Systems?

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Recommender Systems are AI systems that provide personalised recommendations to users based on their preferences and previous behaviour. These systems analyse large amounts of data and use Machine Learning algorithms to predict what a user might like. Recommender Systems are used in e-Commerce, content streaming, and social media.

Other Definitions

Unsupervised Learning is a Machine Learning technique where models learn patterns and structures within data without labelled examples. By uncovering hidden relationships and clustering…
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Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…