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GPU Data Science with NVIDIA RAPIDS

 14 Hours
This instructor-led, live training in Cyprus (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

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From learning, being able to put the proposed exercises into practice.

Samanta - Imdepa Rolamentos

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