Quantity vs Quality, I guess. I randomly selected a link and ended up in this article about NER. It explains how to train a named entity recognition model but skips some functions and in the end where it says "testing the model" it shows results of a pretrained spacy model wtf?
I'm not sure about this specific post but I've noticed an increasing number of people who sort of borrow (steal) from a few different sources and repackage it as their own Frankenstein's monster.
There is a lot of noise. A lot of data virgins seem to do it for audience building/"enthusiasting"/Tweeting/YouTubing/Mediuming/motivating/inspiring/what's holding you back"ing"/ML in production.
Similar to people "teaching" martial arts/"self defense"/Close Quarters Combat: "And your attacker will hit you with his right hand, and you'll grab his pinky, and step on his toes to hurt him. Repeat until he says owie!".
It appears that most of the content about the deed is produced by people who never did the deed. That content theng goes through human centipedes.
However, I think that it is a spectrum. If all content about disciplines was only extremely technical and legitimate, it wouldn't spill over and reach people on the outside.
Nice sarcasm you got there. Just to unsarcastify this: it would be really bad for hiring managers to be clueless. They'd be hiring for all the buzzwords with the wrong expectations, have meaningless job postings.. Wait a minute...
I was thinking about children being able to get thrilled and become interested and get in the field.