ML frameworks are software libraries that provide a foundation to streamline machine learning development. They offer pre-built components, tools, and optimized functions for tasks like data preprocessing, model building, training, evaluation, and deployment. Common uses include computer vision, natural language processing, time series analysis, and predictive modeling.
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