Tweeted By @peteskomoroch

The conventional wisdom is to train, deploy, and iterate on ML models in production as often as possible. In practice, this might be a bad idea if your model training & deployment is a manual, human intensive process. Invest in ML Ops automation before you commit to a fast pace.

— Peter Skomoroch (@peteskomoroch) September 24, 2019