I often see comparisons of traditional software engineering vs machine learning like this where the former is a linear sequence of stages without cycles and the latter is some kind of tight iterative loop.

But my work in both building backend services and building machine learning models has always looked like how the author describes machine learning models.

In my experience the "process" generally isn't that different; but the cycle times are long enough for machine learning that it can feel different.