jstx1

49 ms·

601.
by jstx1 4y ago
I think I phrased it in a confusing way. They care about your solution in the sense that they want to know if/how you'll solve the problem. They don't care in the sense that they aren't trying to learn the answer by inte
602.
by jstx1 4y ago
It's cool if it can really do it (as opposed to spitting out wrong solutions that look plausible at a glance) but I don't think it's a good argument against LC interviews. The point is that they're testing your understan
603.
by jstx1 4y ago
Dear candidate, What's even cheaper and faster than the AI solution is for us to look up the answer in our own database. It turns out that we already know the answers to all the questions we ask in interviews. We're afraid that yo
604.
by jstx1 4y ago
I don't like Quanta because of the exaggerated sensationalized clickbait titles. It makes it seem like it's aimed at people who want to tell themselves that are smart or into science.
605.
by jstx1 4y ago
I don’t think so. Google is still a search engine first and a question answering machine second. And for the question answering I will still prefer links over a blob of text that can’t be inspected or verified.
606.
by jstx1 4y ago
This isn't true for machine learning which has a very specific and widely accepted meaning.
607.
by jstx1 4y ago
To be fair, he has said some things about risk and finance that are completely idiotic - like always valuing EV over utility regardless of stakes. It's the kind of detached-from-reality crap that a teenager whose brain hasn't deve
608.
by jstx1 4y ago
Not segregating customer funds isn't a gamble.
609.
by jstx1 4y ago
This might sound kind of inspirational but as someone who feels similarly to OP, that's a long list of things that I would never want to do. I don't want to do anything - that includes the random list that you're throwing a
610.
by jstx1 4y ago
HN editorializing out the "why" from headlines is plain stupid.
611.
by jstx1 4y ago
In the US it's more common for data scientist to be similar to a product analyst or a data analyst perhaps with better technical skills. In the UK data scientist is more likely to be someone who is doing applied ML work (other titles f
612.
Coffeezilla: Talking to Sam Bankman Fried(youtube.com)
1 points by jstx1 4y ago|1 comments
613.
by jstx1 4y ago
You have two much more likely options: 1. The person who developed the notebook is responsible for productionizing it. (No, it's not all crappy notebooks and some data scientists can indeed write high quality code). 2. You have someone
614.
by jstx1 4y ago
Data scientist is much more catch-all from what I've seen. But a lot of that varies a lot by geography too (for example in the US people very often use DS very differently from how the title is used in the UK).
615.
by jstx1 4y ago
Data engineers don't work with machine learning at all. In fact one of the reasons why it developed as a job title over time waas specifically to differentiate the people who work with data but don't do any statistics or ML. If a
616.
by jstx1 4y ago
As someone who also wants to move away from data science, data engineering is the last thing I would want to do. I think DE comes with many of the same problems and it's also a very ill-defined career track; I wouldn't recommend i
617.
by jstx1 4y ago
As someone with ADHD, it’s kind of sad that I’ll hit some career ceiling because I can’t get myself to put in the work.
618.
by jstx1 4y ago
50 years is too far away into the future to make any meaningful predictions. I would be very skeptical of anyone who is confident about their answer.
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by jstx1 4y ago
Good reasons to move away from DS and ML - not finding it interesting, not enjoying it, having done it for a while and wanting a change. But this > Now it seems we're on the verge of a centralizing and commoditizing revolution in ML
620.
by jstx1 4y ago
Do you have any work experience? Generally the more experience you have, the less it makes sense to go to university.
621.
by jstx1 4y ago
If you work with mostly tabular data, never deploy anything and don't need any deep learning, then it's fine.
622.
by jstx1 4y ago
So if two candidates have a terrible technical interview, the person who knows the right people passes to the next round and the other one doesn't? Sounds a lot like nepotism. Okay, maybe that's not a fair argument on my part beca
623.
by jstx1 4y ago
> LIke: - Expressiveness. Isn't Go deliberately not very expressive?
624.
by jstx1 4y ago
What's up with having two different new experimental languages from Google on the front page https://news.ycombinator.com/item?id=33756800 - did Google just happen to release them at the same time? I think when Carbon
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by jstx1 4y ago
> I added Rust and Dart as established comparisons. Google trends normalizes the results to the highest value so if you want to compare Nim and Zig, it's clearer to query for only those two languages.
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by jstx1 4y ago
Rune - posted very recently - https://github.com/google/rune https://news.ycombinator.com/item?id=33761193
627.
by jstx1 4y ago
Sure, I'll ask my wife to quit her job even though her income is the only one we have right now, I'll explain to my children that they'll have to leave school and never see their friends again, we'll say goodbye to all o
628.
by jstx1 4y ago
> just move where they are publicly happy to hire, or change of field https://news.ycombinator.com/item?id=33518496 You're describing big and difficult changes so obviously they won't be most people's firs
629.
by jstx1 4y ago
My first language was C++ (a very C-like flavor of it) and I really appreciated it later on. A compiler isn't complicated setup (in fact in many cases it's easier than managing Python/JS dependencies). I really believe in giv
630.
by jstx1 4y ago
He has other books too - https://en.wikipedia.org/wiki/Why_We_Want_You_to_Be_Rich - https://en.wikipedia.org/wiki/Midas_Touch_(book) It's a resume that speaks for itself.

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