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 Geneva or in NobleProg corporate training centers in Geneva.
NobleProg -- Your Local Training Provider
Geneva
Rue de Malatrex 14, Geneva, Siwtzerland, 1201
Overview
Our training facilities are located at Rue de Malatrex 14 in Geneva. Located on the fo...
Overview
Our training facilities are located at Rue de Malatrex 14 in Geneva. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Geneva, within walking distance of the Rhone.
Directions
The NobleProg training facilities are located in the heart of downtown Geneva, the centre of this vibrant city.
Parking
Cars can be parked in the area along Rue de Malatrex and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rue de Malatrex there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
This instructor-led, live training in Geneva (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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