Practical MLOps

Chapter 4. Continuous Delivery for Machine Learning Models

By Alfredo Deza

Is it really the sad truth that natural philosophy (what we now call science) has so far separated off from its origins that it has left behind only papyrologists—people who take paper in, put paper out, and while reading and writing assiduously, earnestly avoid the tangible? Do they consider direct contact with data to be of negative value? Are they, like some redneck in the novel Tobacco Road, actually proud of their ignorance?

Dr. Joseph Bogen

As a professional athlete, I was often dealing with injuries. Injuries have all kinds of severity levels. Sometimes it would be something minor, like a mild contracture on my left hamstring after intense hurdle workouts. Other times it would be more serious, like insufferable lower back pain. High-performance athletes cannot afford to have days off in the middle of the season. If the plan is to work out seven days a week, it is critical to go through those seven days. Missing out a day has serious repercussions that can diminish (or entirely wipe out) the workouts until that point. Workouts are like pushing a wheelbarrow uphill, and missing a workout means stepping to the side letting the wheelbarrow ride downhill. The repercussion of that action is that you will have to go back and pick up that wheelbarrow to push it up again. You cannot miss out on workouts.

If you are injured and you cannot work out, getting back up in full shape as soon as possible is a priority ...