umm. nope. you don’t really need to know most of them “to be a data scientist”, and some that you do need to know are not there. come on… convo-nets? you HAVE to know them to work as a data scientist for an insurance company? really?.. but not GLMs or xgboost?..
Article mentioned decision tree. More specifically Boosting Trees.
If you can't add 1 + 1 together...
Also GLM is general linear model. It's just an abstract framework for regression. Are you saying article should learn more than just logit, ols regression? I too can throw out silly terminologies and pretend to be smart.
While I don't really fully agree with the article you're not helping.
