Szeged

NobleProg Szeged, Maros utca 1., Szeged, hungary, 6721
The NobleProg conference rooms are located in the city center, right next to the garden of the beautiful castle of Szeged and...

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GPU Data Science with NVIDIA RAPIDS

 14 Hours
This instructor-led, live training in Csongrád (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.

Samanta - Imdepa Rolamentos

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