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This article provides an overview of the different types of machine learning and deep learning algorithms, and how they are used to create predictive models from data. It discusses supervised and semi-supervised learning, as well as unsupervised learning, classification, regression, image processing, language processing, game-playing and robotics, and generative AI. It also explains how each algorithm can be used to solve different types of problems.
