ML Ops: Machine Learning as an Engineering Discipline

So, your company decided to invest in machine learning. You have a talented team of Data Scientists churning out models to solve important problems that were out of reach just a few years ago. All performance metrics are looking great, the demos cause jaws to drop and executives to ask how soon you can have a model in production. It should be pretty quick, you think. After all, you already solved

[Nyoho]

機械学習とデータ工学に特化したDevOpsをML Opsっていうのか。

[sonots]

この定義は自分の感覚にも近いかもしれない