TMLS2020: Difference between revisions
From Federal Burro of Information
Jump to navigationJump to search
Line 38: | Line 38: | ||
https://medium.com/rapids-ai/gpu-dashboards-in-jupyter-lab-757b17aae1d5 | https://medium.com/rapids-ai/gpu-dashboards-in-jupyter-lab-757b17aae1d5 | ||
[[image:tmls2020-aws-to-gpu.png|600px]] |
Revision as of 16:39, 16 November 2020
Nov 16tgh workshop
Topic: Workshop: MLOps & Automation Workshop: Bringing ML to Production in a Few Easy Steps
Time: Nov 16, 2020 09:00 AM Eastern Time (US and Canada)
who: Yaron Haviv https://medium.com/@yaronhaviv
Tools:
- mlrun - lots of end to end demos /demos
- nuclio
- kubeflow
What it gives us:
- CICD for ML
- auditability
- drift
- feature store for meta data, and drift.
Topic: Reaching Lightspeed Data Science: ETL, ML, and Graph with NVIDIA RAPIDS
Time: Nov 16, 2020 11:00 AM Eastern Time (US and Canada)
https://github.com/dask/dask-tutorial
who: Bradley Rees ( from Nvidia )
https://medium.com/rapids-ai/gpu-dashboards-in-jupyter-lab-757b17aae1d5