For academic staff and PhD students
We have an exciting opportunity for you to attend a free NVIDIA training course on the Fundamentals of Accelerated Data Science.
You will learn how to perform data analysis at scale and gain insights into GPU-accelerated machine learning algorithms.
During the workshop, you will:
- Implement GPU-accelerated data preparation and feature extraction using cuDF and Apache Arrow data frames
- Apply a broad spectrum of GPU-accelerated machine learning tasks using XGBoost and a variety of cuML algorithms
- Execute GPU-accelerated graph analysis with cuGraph, achieving massive-scale analytics in small amounts of time
- Rapidly achieve massive-scale graph analytics using cuGraph routines
You must have a basic knowledge of Python, ideally including pandas and NumPy, to take part in the workshop. View all workshop prerequisites, including online training to help you meet the workshop requirements.
You must also take this 30-minute online course before you attend the workshop: Speed Up DataFrame Operations with cuDF.
Please ensure you meet all workshop prerequisites before 6 March.
Attendees can earn a certificate to prove subject matter competency and support professional growth.