Accelerating Scikit-learn with the Intel® DAAL Performance Library

Get high performance Python at your fingertips with the free Intel® Distribution for Python, and experience faster scikit-learn for your machine learning workflows.

In this video, software engineer Frank Schlimbach explains how key algorithms in scikit-learn are accelerated by using Intel® Data Analytics Acceleration Library (Intel® DAAL), resulting in speedups of 10x-100x1 for large data sets. He also discusses Intel DAAL, including how this powerful data analytics library is used to accelerate scikit-learn, and how to use it directly from Python with pyDAAL.

Download Intel DAAL today, one of five free Intel® Performance Libraries.

 

1 Based on benchmark testing performed 7/9/2018. See website for details.

Performance varies by use, configuration, and other factors. Learn more at www.Intel.com/PerformanceIndex.