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What is Reinforcement Learning?

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Reinforcement Learning is a branch of AI that focuses on training agents to make decisions through trial and error in a specific environment. By employing positive reinforcement and punishments, businesses can teach machines to optimise actions and learn from rewards, enabling autonomous decision-making in dynamic situations.

Other Definitions

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…

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…

One-Shot Learning

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…

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…
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