What You Should Know Before Deploying ML in Production

What should you know before deploying machine learning projects to production? There are four aspects of Machine Learning Operations, or MLOps, that everyone should be aware of first. These can help data scientists and engineers overcome limitations in the machine learning lifecycle and actually see them as opportunities. MLOps is important for several reasons. First of all, machine learning models rely on huge amounts of data, and it is very difficult for data scientists and engineers to keep track of it all. It is also challenging to keep track of the different parameters that can be tweaked in machine learning models.