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What is Reinforcement Learning?

Reinforcement learning refers to a type of machine learning where an agent learns optimal behaviors by interacting with an environment through rewards and penalties. It is widely used in robotics, gaming, finance, and autonomous systems.

Support vector machine
A Support Vector Machine (SVM) is a supervised learning algorithm used for classification and regression tasks. It identifies decision boundaries by maximizing the margin between data points, making it effective in text classification, image recognition, and anomaly detection.
Open AI
Open AI refers to an artificial intelligence research organization focused on developing AI technologies, including language models, reinforcement learning, and generative AI. It is known for innovations like GPT, Codex, and DALL·E, transforming various industries.
Data labeling
Data labeling is the process of tagging raw data with meaningful annotations to enable machine learning models to recognize patterns. It is crucial in supervised learning applications such as image recognition, NLP, and speech processing.

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What is Reinforcement Learning?

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