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NVIDIA Fundamentals of Accelerated Data Science with RAPIDS
Presented in collaboration with the NVIDIA Deep Learning Institute. Developers will learn how to build and execute end-to-end GPU-accelerated data science workflows that enable them to quickly explore, iterate, and get their work into production. Using the RAPIDS accelerated data science libraries, developers will apply a wide variety of GPU-accelerated machine learning algorithms, including XGBoost, cuGRAPH’s single-source shortest path, and cuML’s KNN, DBSCAN, and logistic regression to perform data analysis at scale. Free to USC students, faculty, and staff - please register with your USC email address.

Aug 25, 2021 09:00 AM in Pacific Time (US and Canada)

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