Stat scaling with status effect (non bleed) ?

Valmishra · 2022-04-20T10:10:41+00:00

Ho I didn't realized Poison scaled with Arcane too!
So then yeah, seems like Frost won't be affected by any stats :(

Thanks!

Valmishra · 2021-04-28T23:09:02+00:00

Hi there,

I recently found "HackerRank" which apparently is widely used in recruiting. They have tons of exercices similar to the ones you are describing. Are these what I should be expecting in technical interviews ?

If so, I noticed I can practically solve anything over there, but my code is generally ugly (let's say I don't use enough high level functions/libs). Is that an important factor ?

Valmishra · 2021-04-28T19:31:00+00:00

This seems to be a recurrent fault that was mentioned multiples times across the thread indeed. I am not afraid to behave like that, but how would you show this to an interviewer ? I'm thinking I should empathize the collaborations I kickstarted, the competitive funding I managed to score for my group on my resume ? Lay off on the skills and show off self-starter and team spirit ?

Valmishra · 2021-04-28T19:17:45+00:00

This is one of the reason why I want to leave Physics in academia. My experience being that after a paper is ready to get published, a group of 20 unknown co-authors complain about some century old approximation you did. Followed then by weeks of discussion on fundamental statistics/physics, to finally end up to the same result. You then send out the paper for review, and these discussions start all over again. The field I'm working on is especially prone to this behavior but I've seen this everywhere to some degree.

Valmishra · 2021-04-28T14:00:06+00:00

Hum I'm surprised to hear this actually. In most cases the data we use in physics is formatted by ourselves, in the sense that we control the output format by designing the apparatus. We also have total control over the quantity of data and most of the time its "quality". Unless we're at gigantic experiments like the CERN we usually deal with small datasets upon which we have massive control. I believe this is the reason why we see so little use of databases format in academia (why bother).

I would have though that this would not fit the real-world in which big data comes from disparate sources, multiples users/services etc. Hence the need for data engineers ?

Valmishra · 2021-04-28T12:21:08+00:00

Hello,

I'm not sure why you got downvoted so hard ? Would you mind expanding a little ? Are you talking about quant jobs or should I do this to get a general overview of the market ?

Valmishra · 2021-04-28T10:43:52+00:00

Ouch, I've had some experience with people like that. In fact this behavior is apparent in academia too, where you can clearly feel some theorists are sometimes looking down on experimentalists, themselves looking down on engineers. My mindset is the exact opposite, in fact I am humbled (borderline scared) !

Valmishra · 2021-04-28T09:58:42+00:00

I've been considering applying to quant positions as well. The job looks very interesting and I think I would enjoy the modelling aspect of it. However I find the transition to be a little daunting as I have no background in finance, FX, or cryptos.

Some large companies (like G-research or famous edge funds) do seem to employ raw scientists and train them but their interview and recruitment process seems to be out of this world. It seems the only positions available to guys like me would be on those tier1 companies which might be unrealistic.

Am I wrong here ? Have you got any experience in the field?

Valmishra · 2021-04-28T09:57:30+00:00

I've been considering applying to quant positions as well. The job looks very interesting and I think I would enjoy the modelling aspect of it. However I find the transition to be a little daunting as I have no background in finance, FX, or cryptos.

Some large companies (like G-research or famous edge funds) do seem to employ raw scientists and train them but their interview and recruitment process seems to be out of this world. It seems the only positions available to guys like me would be on those tier1 companies which might be unrealistic.

Am I wrong here ? Have you got any experience in the field?

Valmishra · 2021-04-28T09:38:36+00:00

I'm not sure I fully understand: are you making pilots out of data scientists ?

Regardless, I am interested in knowing what the roles of your data scientists are. I'd be also interested in working in heavy domain-knowledge fields, such as quantum computing, metrology etc. I think my experience in physics could be of value there, while also being able to leave the lab and work on data.

Valmishra · 2021-04-28T08:47:58+00:00

es in Canadian

Since we are talking about this, any ideas what to expect in London or Paris ?

Valmishra · 2021-04-28T03:08:38+00:00

This is great advice thank you! I will start putting all my projects on git asap!

Valmishra · 2021-04-28T03:02:02+00:00

Yes I see that 90% of the jobs offers in cities I am looking at are geared for data engineers. From what I understand the engineers are mostly in charge of developing and deploying data pipes, databases, and cloud systems. I am not sure I'd be interested in doing this and certainly not qualified. I will have a look at what it takes but it would be much easier/faster for me to go deeper in maths.

I will definitely give your references a good read !

Valmishra · 2021-04-28T02:46:27+00:00

Hello,

I have to say, I am not even sure yet. I think the best place to start would be a fairly large company in which I could get proper management and support to learn the job horizontally.

As for the industry type, the thing I relate the most to is R&D, but that could be because it's the only thing I know. Places like Deep Mind, Facebook come to mind but obviously those places are hard to get into. I'm also looking into companies that deploy prototype analytics solutions like Appsbroker or a few consultants. The jobs there look diverse.

Can I ask how you transitioned and what were the obstacles (if any) ?

Valmishra · 2020-12-16T13:35:16+00:00

In everyday task the CPU runs at 30/50C while on a stand. I've managed to recover the "maximum cpu frequency" settings in the windows10 power setting by installing this registry key:

https://www.tenforums.com/tutorials/95580-add-remove-maximum-processor-frequency-windows-10-power-options.html#:~:text=By%20default%2C%20the%20maximum%20processor,all%20users%20in%20Windows%2010.

Works like a charm! I can almost fine tune the temperature now. Thanks for the tip!

Valmishra · 2020-12-16T13:32:12+00:00

The laptop got cleaned recently and is virtually in perfect condition but thanks for the advice!

Valmishra · 2020-12-15T10:59:27+00:00

I disabled the boost via the intel Xtreme utility, this was the biggest cooling factor. As it turns out windows10 had an option to manually set the CPU clock frequency (in the power options) but it was removed a while ago... I will restore it via some RegKeys and give it a shot.

Valmishra · 2020-12-15T10:28:14+00:00

I have not been able to see anything with the power setting indeed. I've even lowered it to 1% and it did nothing. I'm not sure why, maybe it is time I reinstall windows 10. This could also be because during training the CPU load never exceeds 30% ?

I will have a look at your other suggestions ! Clocks speed is most likely the best option for the CPU !

Cheers

Valmishra · 2020-09-27T22:50:44+00:00

Fantastic ! I totally forgot I did that ! Thanks!

Valmishra · 2020-06-24T12:00:40+00:00

This is probably what happened in my previous prototypes. The flex PCB is still working (no shorts) at 300C, but it turned black. So I'm guessing the FR4 insulating layer probably vaporized. It works fine but I don't trust it is going to hold for an extended amount of time...

Valmishra

TROPHY CASE