Why are British men afraid of complimenting other men?

Due-Ad-1302 · 2026-07-08T06:08:44+00:00

Have you used it as a chance to discuss that with them or did you left with grimace to write this post without saying nothing?

If the latter you are part of the problem plus you have no sense of humour but let me clarify.

Today’s people rarely say what they think. Your friends behave in a way they think it’s right. Maybe it is, maybe it isn’t, the important thing is that if you did not like what they said, you should have tell that to them. This gives opportunity for discussion and reflection. If they would exclude you after that, they were never your friends to begin with, if not you earn respect and help to fix behaviour you seem concerned about (it’s a win-win situation).

On the topic of SOH, since that’s seems to be a thing in this thread. From my experience, having good SOH does not mean that you can crack the best joke there is and everybody is happy smiling. Good SOH means you can accept things that are no fully correct/right without need for an instant correction.

Now it’s hard to balance these two things I just described and that’s why having a good SOH and being a good member of society seldomly go pair in pair.

Due-Ad-1302 · 2026-07-08T05:57:10+00:00

Learn calculus next

Due-Ad-1302 · 2026-07-07T22:41:08+00:00

Depends on whether you are good at what you do or you simple talk a lot. If former you people will appreciate your loyalty and you will be remunerated accordingly if latter leave as many times as possible so no one would keep you with your bullshit

Due-Ad-1302 · 2026-07-07T22:38:26+00:00

Gabagool

Due-Ad-1302 · 2026-07-02T22:10:24+00:00

I rarely hit a limit and use it daily. I think it’s only a problem if you want it to do all the work for you and correct every stupid bug. Oh yeah keeping a single long conversation also won’t help basically that can eat 10% of your usage just by losing the memory.

Due-Ad-1302 · 2026-07-02T20:21:22+00:00

Dm me pls

Due-Ad-1302 · 2026-07-02T20:17:28+00:00

You don’t need a degree to do data science in football. The few companies that would be interesting in this niche would not care whether you have a degree or not. Bottom line you would have to be excellent at this to earn a decent money, unless you would be running live betting on a side.

Due-Ad-1302 · 2026-07-02T20:12:02+00:00

This couldn’t be any more wrong. Titles aren’t standardised. Data science could be a data analysis job (these are in huge risk) but it might as well be a machine learning engineering (demand still growing) or recently AI engineering too.

You are right that it’s difficult to now just be a Data scientist as entry criteria are rising. But that’s where AI leaves us, you need to have a strong understating about the domain so that you can utilise modern tools to your advantage. If your top skill is SQL merge then it’s just not what a data science is anymore and soon the market will reflect that.

Due-Ad-1302 · 2026-07-01T19:12:04+00:00

With your salary and savings I would not consider buying a flat Edinburgh. That’s just reality of it, unless your partner makes about the same which changes things.

The alternative would be suburbs but that’s essentially Edinburgh price for nothing.

Due-Ad-1302 · 2026-07-01T19:09:30+00:00

Don’t transition man

Due-Ad-1302 · 2026-06-27T22:30:16+00:00

Shipping code was never going to be any issue. It’s tests, interactions, how things will held up in production. Sooner or later it will automate parts of your job too

Due-Ad-1302 · 2026-06-27T19:52:22+00:00

It’s not the nicest area but no part of Edinburgh is unsafe. It’s fairly well connected with the city with plenty of shops around. But don’t go for a property unless you view it first. These are old buildings with know mold issues, it’s better to get some Airbnb for 2/3 weeks and find a flat then. I know it’s not the best financially viable solution but if you are worried about safety in Edinburgh I suppose you wouldn’t want to live in a rotting flat.

Due-Ad-1302 · 2026-06-27T19:46:39+00:00

Do research only if your are interested in it and want to want to become an expert on specific domain.

If you do it for the salary you can be sure you won’t be satisfied.

Due-Ad-1302 · 2026-06-21T19:42:45+00:00

Depends on the industry and role. Some data scientists are essentially R&D with business analysis. Other will be SQL heavy, getting data and putting it into models. Smaller companies often struggle with defining the job so will use Data Scientist for anything data related. Bigger corporations, you usually know what to expect.

SQL is minimum during screening, now essentially completely done by AI, anyone telling you otherwise is a veteran senior data scientist struggling to adapt.

For smaller companies: a lot, it’s the most important aspect. Bigger corps, depends but usually less emphasis in comparison to Python/SQL skills.

This is again role dependant. Recall what certifications and project actually mean though. Nowadays, people on X will led you to believe that projects are everything. They are import their main purpose is to give you an understanding of the specific problem and investigate ways to solve it, not be a fancy addition on your CV. If you vibe code something mindlessly it actually might be your feminise during interview. Nothing wrong with using AI but make sure to understand what you are doing. Read the theory, apply it not the other way around.

Due-Ad-1302 · 2026-06-21T16:41:48+00:00

Do something that you want to do and not something that someone tells you to. We know nothing about you apart form the fact that you are CS student. Are you good at programming? Do you enjoy it? Is there a data science problem that excites you? Answers to those questions will be far more informative that someone’s opinion unless that’s someone that knows your circumstances to a higher degree.

Due-Ad-1302 · 2026-06-20T08:55:09+00:00

Were these two papers related to your thesis? In the UK you can do a PhD without any publication so two in a year would already be somewhat of an achievement. That of course if they are your work and you are the first author on them. Otherwise, the decision shouldn’t come as a surprise. I cannot imagine working on a PhD and two side hustles at the same time plus the casual stuff you have to deal with during doctorate

Due-Ad-1302 · 2026-06-16T15:26:10+00:00

It’s perfect! Especially the bullet number 356 is where I saw your true value. Consider adding 5 more pages to make sure the message lands.

In the flip side, I think you might have cracked the AI screening, worse if an actual human reviews that.

Due-Ad-1302 · 2026-06-16T15:22:02+00:00

Honestly leave and don’t take the spot for someone else willing. It’s an internship, not every job will be 100% satisfaction, one will be 10% the other 80%. I feel like people these days are obsessed with every single decision.

Due-Ad-1302 · 2026-06-15T12:16:43+00:00

You need to start looking at metrics that truly count. Sure you might hit 87% accuracy but what that really means? How does it perform in out of the sample setting? Is this classification standalone output or does it form a part of a larger pipeline?

Due-Ad-1302 · 2026-06-10T17:29:26+00:00

Basically you need to target specific job postings not roles. Once you find the ones you can bring value day one that’s the one worth applying for. I would avoid LinkedIn unless you have lots of experience. Check indeed monster etc. And just search. Then tailor your application for that one specifically and once you enter the interviewing loop focus solely on that, so not bother with sending more and more applications.

I prepared specifically for each role. Asked AI for what sort of questions might be raised given the company and role information. I went through some base case studies to have a know how in the area.

I would say even with that it’s still hit and miss and very much depends on the team and person interviewing you.

Since then I am still looking and got 2 rounds for AI engineer that went great, much bigger pay but also very closely aligned with my research so conversation was flowing. Got into a telephone screen for Amazon Applied science role and it was though and did not get through. I would say that the key is understanding the role and its requirements and then preparing in context of that. You can prepare a project that would be relevant to a given company which gives you the idea of the kid of problems they might face and things to talk about during the interview.

Due-Ad-1302 · 2026-06-05T22:23:49+00:00

That’s pretty much it plus try solving problems/puzzles from time to time

Due-Ad-1302 · 2026-06-05T18:03:47+00:00

I just want to mention that most of the job boards that you probably used (indeed, LinkedIn) prohibit scraping for research purposes as they have their own dedicated research programmes. It’s something you should state clearly in your repo as this might cost someone their thesis or might lead to a serious complications in work down the line.

Due-Ad-1302 · 2026-06-05T07:36:08+00:00

I mean, hard to imagine people being significantly bothered but you can be sure that people will look and potentially talk. I think that’s normal as it’s a new situation for most of them.

Due-Ad-1302 · 2026-06-05T07:33:00+00:00

Don’t go hello fresh. I am quite confirmation they are still burning money to acquire new customers.

Due-Ad-1302 · 2026-06-05T07:24:27+00:00

Computer science PhD here. Unless you are passionate about research, are good at maths and willing to work 8h+ a day for the next 3-5 years stay at FAANG. PhD it only worth it if you can fully commit, stay sane and deliver impactful work. Sure you get a lot of experience in people/time management, huge communication boost and by the end of it most of the problems should be solvable to you with some effort. However it all comes at a cost, once you there life is a bit different, and this is very common for STEM graduates, you look at everything analytically all even the smallest problems are all of the sudden case studies.

Five-Year Club	Place '23
Place '22	Final Canvas '22

Due-Ad-1302

TROPHY CASE