
Boost Data-Science Performance with Intel® Extension for scikit-learn | Intel Software
Intel extension to scikit-learn can help you boost your scikit-learn code with almost zero effort. Learn how to run the same scikit-lean code much faster, where to look for resources and code samples and more.
Using SciKit-learn for classification, regression, clustering, dimension reduction, or any other algorithm? How about running it 3 4 X and sometimes 20 or 100x faster using the same code… on Intel CPU or even GPU?
Intel extension for Scikit-learn is part of the oneAPI AI Analytics toolkit. In this short video, we present how to use it, where to look for information and samples, and go over real examples with performance comparisons.
Have you found the video useful? https://forms.gle/NX8nG1YUnnfZNdo29
Learn more about oneAPI AI Analytics toolkit: https://software.intel.com/content/www/us/en/develop/tools/oneapi/ai-analytics-toolkit.html
Read the article: https://medium.com/intel-analytics-software/intel-gives-scikit-learn-the-performance-boost-data-scientists-need-42eb47c80b18
Visit the sci-kit learn Github: https://github.com/intel/scikit-learn-intelex
Learn more about oneAPI: https://software.intel.com/oneapi
About Intel Software:
The Intel® Developer Zone encourages and supports software developers that are developing applications for Intel hardware and software products. The Intel Software YouTube channel is a place to learn tips and tricks, get the latest news, watch product demos from both Intel, and our many partners across multiple fields. You'll find videos covering the topics listed below, and to learn more, you can follow the links provided!
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Boost Data-Science Performance with Intel® Extension for scikit-learn | Intel Software