> Too many beginners only work on neat / ready datasets. You'd be surprised how many candidates get completely blindsided when asked to do some trivial tasks on

> Too many beginners only work on neat / ready datasets. You'd be surprised how many candidates get completely blindsided when asked to do some trivial tasks on pre-processing data. I would argue that beginners only -work- on neat/ready datasets and lack the appreciation or understanding that most of the time the data does not already exist in a usable form, and sometimes not at all. The process for making model training possible, and the process for applying models in a useful way are not taught in curriculum, tutorials, and generally not addressed in other literature (e.g. academic/research pubs) "Amateurs and beginners focus on trying to get things right. Professionals focus on making sure things aren't/don't go wrong."