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 training can be carried out locally on customer premises in Tilburg or in NobleProg corporate training centers in Tilburg.
NobleProg -- Your Local Training Provider
Tilburg
Regus - Tilburg, Het Laken, Hart van Brabantlaan 12-14-16, Tilburg, Netherlands, 5038 JL
The meeting rooms in Tilburg business Centre are located in a classically elegant building opposite one of the motorways and ...
The meeting rooms in Tilburg business Centre are located in a classically elegant building opposite one of the motorways and form a prominent address in the city. The meeting rooms are located in the center of the city and next to all major facilities. Several well-known healthcare institutions are located here, alongside a number of large transport and logistics companies.
This instructor-led, live training in Tilburg (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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Testimonials (2)
examples and exercises
Kamil
Course - Introduction to Data Science and AI using Python
Machine Translated
From learning, being able to put the proposed exercises into practice.
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