Because a Machine Learning model is a living asset, it is best-practice to automate its development lifecycle to ensure repeatability. The daily mood Today was my weekly office day and I had the opportunity to meet a colleague from the SRE team, that I had actually not seen for a long time anymore. He told me about the SRE organisation, pains and achievements, which I found very insightfull. We also joined 3 other colleagues for quite a long lunch break at the terrasse of a restaurant. None of us had much social contact during the last months of lock-down, and it looks like we all enjoyed meeting again. Beside that, I am now looking at some ML tooling for enforcing best-practices and operationalization, that we are using in a project (see my previous post on ML model deployment) and which I was not yet much familiar with. First candidate MLflow is actually pretty straight forward, at least in theory. What is MLflow MLflow is a ML lifecycle management platform written in Python. ...
Learnings & thoughts collected on-the-job