Training a machine learning model begins with dataset training, where curated examples teach algorithms to recognize patterns and make predictions. It involves feeding labeled or unlabeled data through models like neural networks, adjusting parameters to minimize errors. Businesses, researchers, and developers benefit by improving AI accuracy for tasks like image recognition or natural language processing.
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