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. Onsite live RAPIDS trainings in Barcelona can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Barcelona City
NobleProg Barcelona, C/ de Mallorca, 501, Barcelona, spain, 08013
With a population of 1 604 555 inhabitants and constantly growing, Barcelona is the second most populated city of Spain after...
With a population of 1 604 555 inhabitants and constantly growing, Barcelona is the second most populated city of Spain after Madrid, and the eleventh of the European Union. It is located on the shores of the Mediterranean Sea, about 120 km south of the A mountainous chain of the Pyrenees and the border with France and is globally recognized as a global city because of its cultural, financial, commercial and tourist importance.
It has a great service of public transport called TMB formed by diverse lines of railroad, tram, metro and buses that circulate throughout the city.
Located in a magnificent location in "L'Esquerra de l'Eixample", one of the main business centers of Barcelona, with universities, metro, buses, Sants station, post office and all the services you can need a few steps away
This instructor-led, live training in Barcelona (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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