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 Busan or in NobleProg corporate training centers in Busan.
Busan Jungang-dong Centre is located on the 7th floor of PanOcean B/D in which many tenants are forwarding companies, shippin...
Busan Jungang-dong Centre is located on the 7th floor of PanOcean B/D in which many tenants are forwarding companies, shipping firms, and conglomerates like Hyundai marine, Woori bank, Shinhan investment, Joongang newspaper. Jungang-dong is one of the main business districts in Busan, so there are many foreign consulates, financial corporations, hotels, shipping companies, etc.
The building is situated with good visibility in the centre of the traditional CBD area in Busan,100 meters from Jungang subway, 5 minutes walk to Busan International Ferry Terminal, and 4 minutes drive to Busan KTX Station or Nampo-dong downtown area.
This instructor-led, live training in Busan (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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