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 Davao City can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Davao, Topaz Tower Centre
4F Topaz Tower, Damosa IT , Lanang, Davao City, Philippines
The Centre in Topaz Tower is in a 5-storey building that houses BPOs and corporate offices in Damosa IT Park. Distance from F...
The Centre in Topaz Tower is in a 5-storey building that houses BPOs and corporate offices in Damosa IT Park. Distance from Francisco Bangoy International Airport is 5 kms and estimated travel time from the airport to the building by car is 15 minutes. The tower is located within DAMOSA District, an urban mixed-use development that comprises the ANFLOCOR Corporate Center, Damosa Gateway, Damosa Market Basket, Damosa Business Center, and the PEZA-accredited Damosa IT Park – a synergistic hub where business meets leisure.
Building strategically located near malls-SM Lanang & Abreeza Ayala Mall-and government & private institutions are within its proximity. Hotels such as Microtel by Wyndham-Davao and Park In by Radisson Davao and a good mix of restaurants are easily accessible from the centre. Other establishments near the centre are SGV Davao Office, Concentrix Davao, Ford Davao, Toyota Davao, Philippine Nikkei Jin Kai International School, and Mindanao Kokusai Daigaku School
This instructor-led, live training in Davao City (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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