Scalable Machine Learning with Dask

Loading

Follow to receive video recommendations   a   A
0 Best Scalable Machine Learning with Dask Videos
  Votes
Date


This talk demonstrates how to scale a Python-based machine learning workflow to larger models and larger datasets. The talk will introduce a common workflow using NumPy, pandas, and scikit-learn, and discuss some challenges with scaling that workflow out to larger datasets. We'll then see how dask and dask-ml work with and extend these libraries to enable large-scale parallel and distributed machine learning.

Editors Note:

I am looking for editors/curators to help with branches of the tree. Please send me an email  if you are interested.