The RAPIDS Notebooks Extended repository includes several examples with end-to-end examples using Dask for distributed, GPU-accelerated computation. Here’s a few from the collection to get started with.
The Linear Regression with Dask+cuML shows a simple example of how to get started with distributed machine learning. Go to notebook
The end-to-end mortgage example notebook uses Fannie Mae data to predict mortgage delinquency (a classification problem). Go to notebook
The NYC Taxi End-to-End notebook uses trip data to predict New York City taxi fares (a regression problem). Go to notebook