Example ML projects in Data Science, Data Engineering, and Artificial Intelligence

These projects emulate the work that these professionals do throughout industry. Machine learning (ML) is often a project component in all three areas but its use depends on the role. Data Scientists often use ML to uncover insights to drive a business or model users to improve data products. Data Engineers solve engineering challenges to apply ML methods when the amount of data is massive and requires distributed computation. And, as mentioned in our post on "How AI Careers Fit into the Data Landscape", AI focuses on understanding core human abilities and designing algorithms, which often have a ML component, to emulate these processes.