Although I'm normally skeptical of AI/ML courses, that section on feature engineering do's-and-do-nots is new and surprisingly under-discussed. It's very useful even outside of AI/ML.
I expect that as companies increase their focus on finding practical applications of ML / AI, the topic will start to get more attention in these tutorials, as well as from researchers. Right now, too many people assume you already have a feature matrix, which is rarely the case when working on real world problems.
I expect that as companies increase their focus on finding practical applications of ML / AI, the topic will start to get more attention in these tutorials, as well as from researchers. Right now, too many people assume you already have a feature matrix, which is rarely the case when working on real world problems.