| demos/ | |
|---|---|
| Visualization.ipynb | Using RAPIDS to process and visualize NYC taxi data |
| cuDF.ipynb | Using cuDF to perform ETL on Seattle parking data |
| BlazingSQL.ipynb | Using BlazingSQL to perform ETL on Seattle parking data |
| cuML.ipynb | Using cuML to build a regressor to predict parking occupancy |
- Go to the BlazingSQL JupyterLab App
- Login to the JupyterLab interface
- Open a Terminal
git clone https://github.com/mtjrider/rapids-blazingsql-workshop.git
- Visualization demonstration.
- RAPIDS overview
- Dask overview
- Intro to cuDF + BlazingSQL
- cuDF hands-on
- BlazingSQL hands-on
- Intro to cuML
- cuML hands-on
- Impact and Beyond
- Q&A
- Matthew Jones (NVIDIA)
- Tom Drabas (BlazingSQL)
- Rodrigo Aramburu (BlazingSQL)
- Jonathan Bentz (NVIDIA)
- Bradley Palmer (NVIDIA)
- Ronak Shah (NVIDIA)
- Brad Rees (NVIDIA)
- John Zedlewski (NVIDIA)
- Paul Mahler (NVIDIA)
- Nick Becker (NVIDIA)
- Chau Dang (NVIDIA)
- Joshua Patterson (NVIDIA)
- Keith Kraus (NVIDIA)
- Michael Beaumont (NVIDIA)
- Manuel Reyes Gomez (NVIDIA)