Online or onsite, instructor-led live RAPIDS training courses demonstrate through interactive hands-on practice how to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualizations, applying machine learning algorithms, such as XGBoost, cuML, etc.
RAPIDS training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Caloocan onsite live RAPIDS trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Manila, Cyber One Eastwood
6/F Cyber One Building, 11, City Cyberpark, Bagumbayan, Quezon City, Philippines
Located inside Eastwood City - the 17 hectares (42 acres) office, commercial, and residential mixed-use development is locate...
Located inside Eastwood City - the 17 hectares (42 acres) office, commercial, and residential mixed-use development is located in the Libis area of Quezon City. It was developed by the real estate giant Megaworld Corporation. It currently hosts 12 luxury residential condominium towers, 11 office buildings, two shopping malls and many restaurants and coffee shops. Cyber One is a modern office IT building consisting of 31 floors with gleaming exterior with column-free layout providing flexibility in space planning, state-of-the-art telecommunications and an eye catching tempered glass exterior. Major companies based here include IBM Business Services, Inc., Fonterra Brand, Gandour Philippines, and Emperador Distillers Inc.
This instructor-led, live training in Caloocan (online or onsite) is aimed at data scientists and developers who wish to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualizations, applying machine learning algorithms, such as XGBoost, cuML, etc.
By the end of this training, participants will be able to:
Set up the necessary development environment to build data models with NVIDIA RAPIDS.
Understand the features, components, and advantages of RAPIDS.
Leverage GPUs to accelerate end-to-end data and analytics pipelines.
Implement GPU-accelerated data preparation and ETL with cuDF and Apache Arrow.
Learn how to perform machine learning tasks with XGBoost and cuML algorithms.
Build data visualizations and execute graph analysis with cuXfilter and cuGraph.
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