The Data Engineering Pipeline of Machine Learning

The data is responsible for pretty much all the real functionality of machine learning systems. Data engineers need to collect as much information as possible from a variety of sources, to pull that together. The application code is really very simple, simple. You can have 24 different chappots all using the same cors application code, but the data makes them all operate completely differently. And we also are probably going to be augmenting the data you have, take ing the data and doing a variety of things to make it more valuable for the machine learning model or other activities. So obviously, more is better. If you have more, More is better. But generally, what we found in hine projects