Degrees of automation in MLOps
"In the previous video, you learned about the three levels of MLOps maturity: manual, semi-automated, and fully automated ML workflows. These levels represent increasing levels of automation in the ML workflow process, with fully automated being the most mature.
In this exercise, you will apply your knowledge about the MLOps reference architecture to classify a series of statements related to machine learning workflows. The statements will describe methodologies and techniques used in ML workflows, and your task is to classify them according to their level of maturity in the following categories:
- Manual
- Semi-automated
- Fully automated
Diese Übung ist Teil des Kurses
Fully Automated MLOps
Interaktive Übung
Setze die Theorie in einer unserer interaktiven Übungen in die Praxis um
