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. Toulouse onsite live RAPIDS trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Toulouse, City Center
Mutliburo Toulouse, 9 Rue de Sébastopol, Toulouse, france, 31000
The business center is located in the Compans business district on the edge of Compans Caffarelli Park, which extends over...
The business center is located in the Compans business district on the edge of Compans Caffarelli Park, which extends over 10 hectares.
Many businesses have settled in this area, attracted both by the situation between the historic heart and the ring road that leads to the airport and the modernity of the site. Note the proximity of the conference center of Toulouse.
The business center offers its fully equipped offices and 2 meeting rooms to organize trainings and business meetings. All rooms are air-conditioned. Your visitors will be welcomed by our teams who will organize your day (preparation of rooms, internet connections, coffee break, catering, secretarial, hotel booking
This instructor-led, live training in Toulouse (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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