Are these numbers for real, and are these all Bay Area? I'm further North and pull no where near these numbers as an ML PhD with a lot of experience now in the tech industry. Have I goofed on all negotiations?
Probably real, yes only Bay Area, and no not the norm for ML.
First of all only a few companies can pay that much (Google, Facebook, LinkedIn, Netflix, etc) and these are outliers. The average ML engineer in the Bay Area does not make 500k/yr total comp.
ML engineer is a programmer usually with a BS in CS, sometimes a MS. They are, in the end, only an engineer.
The AI scientists, those with work in computer vision, natural language, and audio, developing novel networks and training methods, make at least $500K/year. I've been a data scientist and the pay (and work content) was a joke. I switched to AI and damn, work makes you think and you get paid like a mid-range NBA star.
I went back for a PhD. I know a lot of people can't do this, but this is the reason why there are few AI specialists. You just can't become an expert by reading blogs and even research papers online. You need the full specialist environment, from discussions outside the bathroom to the drawings on the whiteboard.
And here I am dreaming of achieving it by doing MOOC courses :)...So, not possible at all this way?
Theoretically, one would feel, that by just reading blogs, watching videos along side taking MOOC courses, and spawning GPUs on the cloud, should do it.
I didn't look too hard but didn't see any similar free services with full DNS management and an API for cache validation. Would love a suggestion here too!
AWS isn't cheap or expensive. It's a bundle of services and you're free to use any combination of them. Route53 can be used independently and yes it's very cheap.
Seeing a link to the dailymail is a hint that HN may be jumping the shark. This is a UK rag of a paper.
Clearly this driver is outside of the recommended highway driving scenario. There are multiple warnings both audible and big red indications on the sensor dash that automation is about to stop.
Would we have a problem if I set cruise control in my Mazda to 60MPH then drove off a tight bend? No, we would call this driver error.
Anyway, even if it is the driver's fault, it will be news. Self-driving cars is a hot topic. It's probably a good idea for Tesla owners to watch these to remind them that it really is a limited auto-pilot.
Tesla could collect a lot of driving data from their 60,000+ drivers. Hopefully, they report every warning back to their data centers.
The daily mail is trash, but this is nonetheless newsworthy. This is a classic case of risk compensation[0].
As we get more of these kind of driving assist systems, people will be less careful about driving. The better they work, the less attention people will pay to driving until we hit that magic bar where the car is fully self-driving with no possible situation where the user has to intervene.
EDIT: seriously, this article got flagged off the frontpage? I know I'm replying in a vacuum now, but this is just sad. This was newsworthy, interesting and could have led to a good discussion.
You can really appreciate the difference between the gentle movement induced with mechanically actuated magnets, and the nasty instantaneous movement which would happen with electro.
Yeah it was the biggest challenge, how to gently move liquid and not "expose" the mechanism behind it so it looks that liquid is moving on its own. I have a lot more videos, feel free to send me an email stankovicdamjan@gmail.com i will share. My plan is to publish the making of presentation by the end of this week
Please show a paper where fine-grained vehicle classification in unconstrained images is anywhere near this performance from 20 years ago. You will not be able to, because it wasn't.
Q: In order to use the full MCT design (100 passengers), will BFR be one core or 3 cores?
EM: At first, I was thinking we would just scale up Falcon Heavy, but it looks like it probably makes more sense just to have a single monster boost stage.
Q: Nice to see you are doing things the Kerbal way.
EM: Kerbal is awesome!
The second one:
Q: "Hi Elon! Huge fan of yours. Have you heard of/played Kerbal Space Program? Also do you see SpaceX working with Squad (the people behind KSP) to integrate SpaceX parts into KSP?"
Reply (not from EM): What do you think SpaceX uses for testing software?
EM to Reply: Kerbal Space Program!
Short version - Elon Musk likes and plays Kerbal Space Program.
I don't see anything new here, but for any practioners like myself Scikit-learn and Spyder were the Python tools which finally moved me from a die hard MATLAB junkie.
Within about two weeks, and with a little bit of discipline, I became a MATLAB->Python convert. Spyder is a solid IDE, and Anaconda comes with all the packages you need (i.e. Matplotlib...).
All that's left now is to find a solution to MATLAB's excellent debugging. You can break to pydb in Spyder but the debug environment is nowhere near as functional as iPython.
So I had always heard this is the case, and now believe this must be a common misconception. See Table 6 in this file from the Office of National Statistics:
While from 2004 to 2012 total UK fertility increased from 1.80 to 1.98, the fertility rate for non-UK born women actually /decreased/ from 2.50 to 2.29 (albeit in a slightly messy non-monotonic fashion) while the fertility rate for UK born mothers /increased/ from 1.69 to 1.90 quite monotonically.
It would be interesting to see the stats including 2nd and 3rd generation immigrant mothers (i.e. born in UK both with parents born elsewhere).
I wasn't aware of UK-born mothers' increased fertility rate.
However, I'll argue that even if the fertitily rate of immigrant mothers decreased, this can explain the data because if more immigrants came in, the average fertility rate goes up (given that immigrants' decreased rate is still quite a bit higher than UK-born).
