Accelerating Scikit-learn with the Intel® DAAL Performance Library | Intel Software

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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, Frank explains how key algorithms in scikit-learn are accelerated by using Intel® Data Analytics Acceleration Library (Intel® DAAL) resulting in speedups of 10-100x for large data sets. Learn about Intel® DAAL – a powerful performance library for data analytics, how it is used to accelerate scikit-learn, and how to use it directly from Python with pyDAAL.

Intel® Distribution for Python* Home Page: http://intel.ly/2rWmGrH

Intel® Distribution for Python* Home Page Benchmarks: http://intel.ly/2rVTLnV

Intel® Distribution for Python* 2017 Update 2 Accelerates Five Key Areas for Impressive Performance Gains: http://intel.ly/2sv0Ry9

Intel® Distribution for Python* Forum: http://intel.ly/2rVFUOk

Intel® Data Analytics Acceleration Library Home Page: http://intel.ly/2suISba

Intel® Data Analytics Acceleration Library Forum: http://intel.ly/2svgLIT

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