As previously mentioned, machine learning is part of data science and therefore not strictly confined to a specific role; you can be a data scientist working with machine learning and AI technologies.

For example, here are some of the challenges that have impacted success in material science. 1. Material development is often slow and costly, involving extensive testing and validation that delay ...

From biomedicine to political sciences, researchers increasingly use machine learning as a tool to make predictions on the basis of patterns in their data. But the claims in many such studies are ...