TMLS2020: Difference between revisions
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Workshops | Workshops | ||
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kathy oneil | kathy oneil | ||
weapons of math descruction | weapons of math descruction | ||
== Nov 17th == | |||
=== Bonus Workshop: How to Automate Machine Learning With GitHub Actions === | |||
Revision as of 14:08, 17 November 2020
Nov 16th
Workshops
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
https://nvidia.github.io/spark-rapids/
file formats:
h5 - for gentic info.
h5ad - compressed annotated version
nica lung
genetic analysis, 2d visualization
UMAP
- https://www.nature.com/articles/s41467-020-15351-4
- https://umap-learn.readthedocs.io/en/latest/basic_usage.html
Managing Data Science in the Enterprise
who:
The age old “discipline” problem. This is not a data science problem and this is not a technology problem, this is a human problem.
"Paved paths"
kathy oneil weapons of math descruction
