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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

ChatOps

ChatOps combines chat platforms and AI technologies to facilitate collaboration and automate tasks within teams. By integrating AI-powered chatbots and communication tools, businesses can…

Deep Reinforcement Learning

Deep Reinforcement Learning is a subset of Machine Learning that combines Deep Learning and Reinforcement Learning. It involves training AI models to make decisions…

Natural Language Processing (NLP)

Natural Language Processing involves the interaction between computers and human language, enabling machines to understand, interpret, and generate human language. It powers applications like…

Variational Autoencoders (VAE)

Variational Autoencoders are a type of generative model used in unsupervised learning. VAEs learn a low-dimensional representation of input data and can generate new…
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