Model training is the process where machine learning algorithms learn from data to make accurate predictions or decisions. It involves feeding labeled or unlabeled data into a model, adjusting parameters iteratively to minimize errors. Data scientists and engineers use this to build AI systems for industries like healthcare, finance, and e-commerce. Businesses benefit by automating tasks, gaining insights, and improving customer experiences.
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