fnbr

22 ms·

211.
by fnbr 8y ago
Disclaimer: I am not a lawyer.
212.
by fnbr 8y ago
You could probably sue them, though. Have you spoken to a lawyer?
213.
by fnbr 8y ago
In this case, yes :) u/stcredzero's example is also a great one, as over-regulation is a massive problem. However, it's not as much of an issue for higher paying jobs, which I think are more relevant when we're discussin
214.
by fnbr 8y ago
There's two things called civil law: 1. The legal system [1], based on Roman law, that is common in former French colonies across the world (e.g. Quebec, Louisiana, France). 2. In common law legal systems, the branch of the law that de
215.
by fnbr 8y ago
Investment banking is one, another is corporate law. It's incredibly difficult to get a job in either field without a degree from a top school, with top grades. Google hires lots of people with degrees from state schools (or without de
216.
by fnbr 8y ago
I would certainly agree with you, but I don't think someone with a master's degree is necessarily an expert. What's important, IMO, is having practical experience in data science, which may or may not come with a graduate deg
217.
by fnbr 9y ago
Post-docs, and adjunct professors make O($30k), which is less than what a subway conductor makes, presumably.
218.
by fnbr 9y ago
Yes, exactly. And most of the time, you can get by with a simple model like a random forest, so you just need to have a few analysts/engineers doing feature engineering, and feeding it into your model. Almost everyone using more compli
219.
by fnbr 9y ago
I think they mean that Paul Graham et. al launched YC as a small, cheap experiment, and never imagined they would have success like this.
220.
by fnbr 9y ago
I think this is true, broadly. Biological evolution has a large advantage in that it introduces a large amount of exogenous variation into the system (it just randomly changes DNA via a number of ways, and selects the "best" chang
221.
by fnbr 9y ago
The numbers that I have seen indicate that humans have a fatal accident roughly once per hundred million miles, while we have one fatal accident for a self-driving car, with somewhere around ten million miles driven across all self-driving
222.
by fnbr 9y ago
Target's surprisingly sophisticated. They had a booth at NIPS this year, which I wasn't expecting.
223.
by fnbr 9y ago
I'm so sorry.
224.
by fnbr 9y ago
No, not at all. A master's does help significantly, but it's possible to get these jobs with any background.
225.
by fnbr 9y ago
Alphabet's probably accepting stock because they're one of the most risk-loving investors possible. They've already got a business that's spinning off tons of cash, so they have no need for money, and instead, are pursui
226.
by fnbr 9y ago
He claims in interviews [1] that he reads everything that goes through there (but obviously doesn't reply). [1]: https://www.recode.net/2016/6/1/11826718/jeff-bezos-amazon-f...
227.
by fnbr 9y ago
I agree. It's only as a potential employer that they lose their luster.
228.
by fnbr 9y ago
What? That's absolutely wild. Is this typical? How does it compare to what, say, Alphabet's treasury does?
229.
by fnbr 9y ago
Yup. I've had a number of bad experiences (packages not arriving, wrong thing delivered, etc), but every time, Amazon has made it right. They consistently produce a great customer experience.
230.
by fnbr 9y ago
This is the reason that I plan to either work at Big N companies, where my equity is given to me in RSUs, or start my own company. Working at a startup in any role that's not a founder or an exec seems like a total scam, unless you hav
231.
by fnbr 9y ago
Not sure if you're looking for CV or DL libraries. If you're looking for DL libraries, you can't go wrong with Tensorflow or PyTorch for research/development, and Tensorflow or Caffe2 for deployment. Tensorflow's a
232.
by fnbr 9y ago
For instance, say I had 2 services, a scraper and then a ML algorithm that classified the scraped data. You only need to run the ML classifier when there's new data. I didn't have anything set up to tell the classifier "hey!
233.
by fnbr 9y ago
That's what I did for a recent side project. It worked really well, although coordinating the different services was a bit of a pain. We ended up using a cronjob to run everything repeatedly, which was inefficient but worked. If we had
234.
by fnbr 9y ago
What's missing here is a discussion of compensation. I've seen at conferences how proud senior Google employees (ie Jeff Dean) are of the TPU work that their teams are doing, and I suspect that compensation is following accordingl
235.
by fnbr 9y ago
Adversarial noise is interesting, but I think it's more of a toy problem that will go away as we switch to more sophisticated models with life-long learning that are able to develop complicated, hierarchical/compositional classifi
236.
by fnbr 9y ago
How would you address your manager?
237.
by fnbr 9y ago
Based on my understanding of the issue, the main difference between now and then is scale. Pre-iPhone, Apple didn't have the scale to make their own chips economically; now, with the massive success of the iPhone, they're able to
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by fnbr 9y ago
It is technically illegal to fire you for discussing this, at least in the US. I know at Google there's supposedly a big internal salary sharing doc started by Erica Baker, and she wasn't fired for it (although her manager was sup
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by fnbr 9y ago
I'll give you my perspective: it's tough. I tried to go from ML Engineer -> ML Consultant, and while I was able to find work at a reasonable rate, it was difficult, because most businesses don't have technical problems, th
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by fnbr 9y ago
Currently, I'm employed FT. When I was consulting, typically multiple projects. It's necessary (IME) to do so to guarantee you have a steady flow of work. I'd always be looking for a new project midway through the current one

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