Scikit-learn is one of the most widely used Python packages for data science and machine learning (ML). Scikit-learn accelerators can analyze ML data across many industry use-cases while driving efficient use of hardware resources. The Intel optimizations for scikit-learn, made available through Intel AI Analytics Toolkit, reduce run times and gives data scientists time back to focus on their models. Intel has invested in optimizing the performance of Python, with the Intel Distribution of Python, and has optimized key data science libraries like scikit-learn, XGBoost, NumPy, and SciPy.
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