MLOps World 2022: Difference between revisions

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https://microsoft.github.io/FLAML/
https://microsoft.github.io/FLAML/
== Taking MLOps 0-60: How to Version Control, Unify Data and Management ==
https://labelstud.io/
https://pachyderm.io/
also:
https://www.pachyderm.com/

Revision as of 16:52, 7 June 2022

June 7th

10am

First session nest practice

Lina

not very usful to me. joined late doue to hova + hopin tehcnical difficulties.


Automated Machine Learning & Tuning with FLAML

11 am

3h session.

manually tuning hyper parameters is a large effort.

costs a lot , tuning opportunity lost due to load .

also cost is not one time.

the goal is to remove the hassle of tuning.

https://microsoft.github.io/FLAML/


Taking MLOps 0-60: How to Version Control, Unify Data and Management

https://labelstud.io/

https://pachyderm.io/ also: https://www.pachyderm.com/