NVTabular: Building a Dask-based Library for Recommender-System Data Pipelines

NVTabular is a recommender-system focused feature-engineering and preprocessing library for tabular data. This talk will describe how NVTabular was built entirely on Dask-Dataframe to both simplify and accelerate model-training pipelines. The primary goals are to (1) present a successful example of Dask integration and to (2) communicate important lessons learned.

Categories: Day 1