Data preparation is one of the most time-consuming parts of any data science or analytics project, but it doesn't have to be.

The intersection of traditional machine learning and modern representation learning is opening up new possibilities.

MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and maintaining machine learning models.