neshibble

I run into this issue on my resume. Do i throw random skills i spent 4 months learning for some project and never used again? I feel like overloading these things devalues the skills i actually AM exceptionally competent at, as opposed to just capable.

I do research on Deep Learning. That seems the exact kind of question they would deem relevant to their field.

I don't know much about NLP but if I had to guess the answer to your question is include it in the training data. I don't know what model they use, but presumably it parses out sentence structure in a specific format and uses that as input to some neural network architecture.

Not really sure why he didn't answer your question, it's the exact kind of question people do NLP to answer.

I think this is one of the reasons Econ as a field has stagnated. (THIs is v hard to defend but bear with me). People have no reason to share / peer review their findings. It is extremely advantageous to share no, or bad advice. Hence why you get the 2007/08 housing bubble, as hundreds of econ professors peddle COMPLETELY false economic theory and results based analysis.

In fact, many still are. Not much has changed in the field of economics. How data science isn't a mandatory requirement for such a data driven field just shows to me how immature the field is.

This. Python's stength as a language IMO comes from it's ability to interface with more efficient code. You can write the meat of your library at near C levels of efficiency, and have python treat it like a "black box" essentially. That seems to be how NN code works often as well.

Now that you've made this comparison, I can never unsee it. They're extremely similar! This makes me wonder whose going to be Musk's Tesla. I.e., what's the first amazing idea he's going to throw away (out of mainly hubris) that actually solves his problems.