Training data, A set of examples used to teach a model (often with correct answers), Natural Language Processing, Text or speech understanding by computers, Computer Vision, Vision and image understanding by computers, Supervised Learning, A type of machine learning where correct answers are provided during training, Unsupervised Learning, Machine learning that learns without labels or categories, Regression, A task where the output is a continuous number, Classification, A system that assigns data to categories, Clustering, A method that finds similarities and groups data, Model, A program that makes decisions based on data, Features, Variables used as input to a model, Labels, What we want the model to learn (the target), Prediction, The act of using a trained model to get results, Algorithm, The mathematical logic inside the model, Input, Data given into a model, Output, The result produced by a model
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AI_Concepts
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