Registered Democrat 89 % 9 %
Registered Republican 90 % 7 %
120 karma · joined April 14, 2015
Registered Democrat 89 % 9 %
Registered Republican 90 % 7 %
edit: anyway, besides the point.. I just love that feature haha
Mind you, I don't have an Android device, so maybe Google Maps does this automatically for you on Andriod. It doesn't do it on the iPhone, at least not automatically (aka. I don't bother to look it up, which is kind of the point).
It's learning a meaning, not the meaning. It's just a probabilistic model for the occurrence of a word based on the words that surround it. This should not serve as a base for the rest of your claims.
Anyway -- the improvements gained by multi-modal systems essentially disprove your thesis. Which is a good news! We're making progress.
Edit: to elaborate... single model training runs are possible to do quite fast now, but knowing how to tune hyper parameters remains the 'voodoo' of the field. But the best hyper params are also possible to discover through brute force: try every combination you can! Today, you can use various heuristics to improve this process, but either way, being able to train whatever X times faster just means we can search hyper parameter space that much faster. The robots are coming :)
This is a little harsh and I doubt what the OP was saying. If someone interprets it like you suggested that is their problem. I don't see the implication that you NEED to live in SV to work in tech.
I don't think anyone claims that you can't find thriving tech communities outside of SV, but the reality that OP put forth is undeniably true. SV is where the most money is. SV is where most of the talent goes. SV churns out its own home grown talent through 2 of the best schools in the world. Did the automative industry all move to NY & Austin? No. They moved to SV (not exclusively, but I'm sure you've seen the map of automative companies moving in to SV).
Hollywood isn't the only place you can make movies and SV isn't the only place you can make software or start software based companies... but how are you going to deny that they are the most thriving communities in the world respectively?
Although I'm not a quant and do not even directly work in the finance industry, my experience working as part of a machine learning outfit definitely corroborates this. Data Science may be a hard term to truly define (it's quite broad, particularly when you start applying it in the real world) -- but the general skill set is definitely seeping into computer software/engineering roles. I'm not sure how it will go in the future (there are many viewpoints on this) but I wouldn't be surprised for this trend to continue.