47 karma · joined January 4, 2012
its very disconcerting - i feel this way everytime i use pytorch - which i love
personally i think these work great because i can add cells to inspect data or try experiments easily as i'm reading to help me understand whats going on
just fyi: i was going through the second bitcoin module and hit a broken image link: https://www.socratease.in/static/img/intro-to-bitcoins-2/img...
One of the founders, Derek, is an interesting guy and built an impressive tech stack that drives the rooms with a very high degree of automation. I think most HN'ers would enjoy speaking with him about it.
long term holding period, more information here http://etfdb.com/2014/affordable-active-alpha-inside-the-u-s...
i'm a fan of Wes Gray's writing and philosophy and approach, if you really want detail read: http://www.amazon.com/Quantitative-Value-Practitioners-Intel...
disclaimer: i am good friends with an principal investor in their ETF business.
I think you are misinterpreting what he is saying about grid search. The grid search is just to narrow the field of parameters initially, he doesn't say how he would proceed after that point.
Just curious, what do you consider the state of the art? A Bayesian optimization? Wouldn't a grid search to start be like a uniform prior?
The rest of his suggestions looked on point to me, did you see anything else you would differ with? (i ask sincerely for my own education).