Accelerate Machine Learning and Data Science with oneDAL | Intel Software

Опубликовано 15 мая 2024, 16:00

Learn about how Intel® oneAPI Data Analytics Library (oneDAL) helps build high-performance ML and Data Science applications on CPUs and GPUs. The video talks about real-world applications, performance optimization results and component APIs of the library. It also highlights how oneDAL accelerates a data analytics pipeline through optimized algorithms and methods for ML and data analytics operations.

This video will give you an overview of the Intel® oneAPI Data Analytics Library (oneDAL). It talks about practical applications of the library and how it helps accelerate an end-to-end data analytics workflow. The video illustrates the results of implementing oneDAL’s optimized version of k-means clustering (an unsupervised ML algorithm to group together similar unlabeled datapoints).

You will also learn about the two major component APIs of oneDAL: the C++ legacy API called DAAL interfaces specific to CPUs, and the C++ with SYCL based oneAPI interfaces designed for GPU-focused implementations (though they are supported on CPUs as well). The video discusses about the optimized ML algorithms and data analytics methods provided by each of these APIs.

Intel® oneAPI Data Analytics Library landing page: intel.ly/3Wzfj6T

Intel® oneAPI Data Analytics Library documentation: intel.ly/4dBbCDQ

Intel® oneAPI Data Analytics Library code samples on GitHub: intel.ly/4dv2j8f

Intel® Tiber™ Developer Cloud: intel.ly/44wzgx7

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Accelerate Machine Learning and Data Science with oneDAL | Intel Software