skwb

22 ms·

211.
by skwb 8y ago
I can't speak for xahrepap, but I'm working on my PhD where I operationalize deep learning for radiology. Whenever I do find myself sorta burned out on a project, I do take solace knowing that it's apply a complex technical f
212.
by skwb 8y ago
My lab (which does extensive collaboration with industry) is all python... I could see maybe building an application that uses a trained model, but I have to agree that python is the current standard for DL research/work.
213.
by skwb 8y ago
when I get media reports, I generally consider them 90% as true when talking vanguard reporting sites (NYT, WaPo, LATimes, WSJ, etc.). Editors are notorious for drilling down and not wanting to print unless they’re fairly confident. While p
214.
by skwb 8y ago
I do like that it supports multiple gpus. I usually have tmux session up with my training progress (and keras callbacks) on one spit and the other side dedicated to htop/watch -n 0.5 nvidia-smi. Looks like I’ll give it a run this week
215.
by skwb 8y ago
To expand on tinkertellers comments, a lot of ml based ai is based on historical data. For example, identifying factors associated with hiring a good employee may identify colinear features that correlate but do not contribute to being a go
216.
by skwb 8y ago
I have seen one of my favorite beers (Alpine) take a bit of a nose dive in quality around the time they sold to Green Flash. Pity. Their pre-GF beer was good.
217.
by skwb 8y ago
I suppose you could even use some basic ML (or hell, just geo-location and expected arrival) get an idea of when to prompt the restaurant to "start making XYZ order" when it appears the customer is driving in the direction of the
218.
by skwb 8y ago
I think the main points of the article is to introduce the potential complexities and pitfalls that come along with the digitization of clinical records and workflows. In my personal experience, engineers that haven't worked within a c
219.
by skwb 8y ago
I think it's all about the how you automate in healthcare. I'm working on a project to automate the way we collect MRIs, but we only are focusing on the "dumb" parts of the process that don't put patients at risk. I
220.
by skwb 8y ago
The point you may have failed to get is that hospitals rely on systems for catching errors (which is hard because medicine is super hard). The point Wachler attempts to raise is how when we blindly substitute technological systems with huma
221.
by skwb 8y ago
Well on the outpatient side, the volume of drugs a doctor is prescribing is horrendously outpaced by the number of order you're getting as a hospitalist. When you are responsible for about a dozen patients and some need your attention
222.
by skwb 8y ago
Well university hospitals run lots of "experimental protocols" where physicians need the autonomy and flexibility for prescribe all sorts of medications. Just curation of drug-drug interactions tables is a huge butt-load of work,
223.
by skwb 9y ago
To host more dinner parties!