3 ms·
Of course I am grateful for all the people who put in effort to teach people things, and then doubly grateful for people who make it accessible and triply grate
by omarhaneef 5y ago
Of course I am grateful for all the people who put in effort to teach people things, and then doubly grateful for people who make it accessible and triply grateful for those who make it free.
At this point a guide to machine learning guides would also be a huge contribution. Some ideas for ranking/filtering/grading features: how much math, how much hands on, which language, assumed knowledge and pedagogical strategy/path.
- andreyk 5y agoSeriously, how do these kinds of things keep hitting first page HN? Quality aside, who on HN thinks this is of interest to the community in terms of being novel / worth discussing?
- strangecasts 5y agoIt might partly be an "upvote to read later" thing?
- anon_tor_12345 5y agoi'm gonna get downvoted for elitism but it's very clearly "aspirational upvotes" from people that don't actually know any ML and won't ever end up learning any. to wit: no one that actually studies seriously spends this much time wringing their hands over which reference to use. you don't keep cycling through references that seem better because that's a sure way to never make any progress - you pick a reference and grind through it. maybe with occasional double checking against some other reference sure but you never end up ditching the first one because the cost of changing notations/formalisms/etc is very very high and not worth paying almost ever (since intrinsically they're all talking about the same thing anyway). this is the reason that profs today still teach from the books they learned from 30 years ago.