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. Cebu onsite live RAPIDS trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Cebu, Apple One Equicom Tower
11 Floor, Apple One - Equicom , Cebu Ciry, Philippines, 6000
The AppleOne Equicom Tower business center is in a mixed-use development in Cebu City. AppleOne Tower is a 17-Floor building ...
The AppleOne Equicom Tower business center is in a mixed-use development in Cebu City. AppleOne Tower is a 17-Floor building with residential units located at the top of the building, commercial office units and 4 levels of parking spaces. It is a PEZA accredited building catering to many BPO and KPO companies. The business centre is conveniently located with good road links and close to Mactan International airport and is located close to major shopping malls and entertainment facilities. Major corporates based in Cebu City include JP Morgan Chase, NEC, Olympus, Taiyo yuden and Timex.
This instructor-led, live training in Cebu (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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