Brian Tepera – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-31T20:46:59Z http://www.open-lab.net/blog/feed/ Brian Tepera <![CDATA[NVIDIA cuML Brings Zero Code Change Acceleration to scikit-learn]]> http://www.open-lab.net/blog/?p=97091 2025-03-31T20:46:59Z 2025-03-18T17:42:25Z Scikit-learn, the most widely used ML library, is popular for processing tabular data because of its simple API, diversity of algorithms, and compatibility with...]]>

Scikit-learn, the most widely used ML library, is popular for processing tabular data because of its simple API, diversity of algorithms, and compatibility with popular Python libraries such as pandas and NumPy. NVIDIA cuML now enables you to continue using familiar scikit-learn APIs and Python libraries while enabling data scientists and machine learning engineers to harness the power of CUDA on…

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]]> Brian Tepera <![CDATA[Accelerating Time Series Forecasting with RAPIDS cuML]]> http://www.open-lab.net/blog/?p=95127 2025-01-23T19:54:21Z 2025-01-16T17:20:10Z Time series forecasting is a powerful data science technique used to predict future values based on data points from the past Open source Python libraries like...]]>

Time series forecasting is a powerful data science technique used to predict future values based on data points from the past Open source Python libraries like skforecast make it easy to run time series forecasts on your data. They allow you to “bring your own” regressor that is compatible with the scikit-learn API, giving you the flexibility to work seamlessly with the model of your choice.

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