Supervised learning in machine learning explained | TECH Global University
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3 categories of machine learning you should understand 💡 1. Supervised learning: The algorithm learns from labeled historical input and output data to create a model that can make predictions. Common algorithms include neural networks, decision trees, linear regression, and support vector machines. Used for tasks like sales forecasting, fraud detection, and predicting equipment failure. 2. Unsupervised learning: The algorithm finds patterns in unlabeled data to group data points into clusters.
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Supervised learning in machine learning explained | TECH Global University
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