MLOps World 2022
From Federal Burro of Information
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://pachyderm.io/ also: https://www.pachyderm.com/
github.com/pachyderm/examples/tree/master/label-studio
