[graycat]

You do understand that for all the talk and new terminology and claims of "learning" in the "machine learning" (ML) in the Google OP, what is in the OP is a poor introduction to some highly polished material in "regression analysis" in 50 year old books. So, the ML stuff is adulterated old wine in new bottles with new labels. That is essentially intellectual theft and corruption, and without references essentially academic plagiarism. You should be offended.

If they are going to plagiarize, even just teach, regression analysis, then at least they shouldn't make a mess out of it, and a mess is what they made. Google should "get that MESS OFF the Internet".

Students should be told the truth: Regression is powerful stuff. Sometimes the results can be valuable. The Google OP is an introduction to regression and does have some value. But the Google material is a MESS, and students should be informed that they are getting really low quality material and should see some references to some beautifully polished material.

So, I helped any students who would be the target audience for the Google OP.

You should know this; I believe you do.

I'm offended by the mess and passing that out to students trying to learn. You should also be offended.

[diyseguy]

Google dumbs everything down because they think everyone is dumb. I have learned to avoid their documentation and attempts to teach the populace.