PyTorch is the better choice once a machine learning problem needs neural networks, GPU acceleration, or a model trained directly on unstructured data such as images, audio, or raw text. Scikit-learn, in active development since 2007 and built on top of NumPy and SciPy, covers classical algorithms like linear regression, decision trees, and clustering, and has no native GPU support.
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