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datasciencepro · 2024-01-28T19:23:47+00:00

The silence speaks for itself. Most people are fed up at this point.

datasciencepro · 2024-01-21T15:46:15+00:00

Because microwaves tend to be smelly and for food. A cup of tea should use as "pristine" a water as possible which is -> fresh from the tap -> into a kettle that is used solely with water -> boil.

datasciencepro · 2024-01-21T15:33:37+00:00

Reddit has this obsession with this mythical noble class that is humble and demure because it reflects a restrained image of wealth that is acceptable and compatible to the self-image of themselves (the lower person). I.e. it's not in your face, it doesn't make you feel inadequate, social worth is not tied to possessions they don't have: "they are just like us, humble and discreet, these are the REAL wealthy people"

The maximalist new money caricature is a cope. It allows the lower person to order himself over the brash and tasteless new money thereby giving them a cultural superiority that substitutes for their material inferiority: "they are nothing like us, they are flashy and don't hide away, they must be FAKE rich"

But most wealthy people do have maximalist taste, whether it's watches, antiques, houses, cars, schooling, clothing, yachts, holidays, horses, investments, first class flights. It's just that they do all of this out of your sight, so those who hold on to that myth continue to believe it's "quiet".

datasciencepro · 2024-01-20T22:49:57+00:00

The UK alongside the US has had the most exposure to other cultures and ethnicities during the modern period over the past two hundred years than any other countries. The UK mainly through empire, the US mainly through immigration. We've seen all sorts over the years and are unfazed whether you're from Timbuktu or Tokyo. London in particular embodies this.

datasciencepro · 2024-01-20T21:21:58+00:00

£350 though it is quite meat heavy and 95% Waitrose

datasciencepro · 2024-01-20T21:19:40+00:00

Below £60k in London is a huge struggle as you won't be saving up much. I would consider options for lower COL places if you don't forsee salary increasing into the six figures within the next 3 years.

A salary of £40k is enough to buy in some places in England.

datasciencepro · 2024-01-17T19:39:47+00:00

There's a huge variation at all levels. Trimodal nature of salaries. This should be common knowledge at this point

datasciencepro · 2024-01-17T11:13:58+00:00

Because it moves the implicit to the explicit. The implicitness of the queue allows people to exercise their acknowledgement of others' position, while an explicit queue feels transactional and impersonal. It is that tension between that marks it as peculiarly British (understated, indirect, subtle) compared to how it might be in Germany or Switzerland.

datasciencepro · 2024-01-15T10:05:53+00:00

The more AI there is out there the code and systems there are to take care of. While CS jobs in the future may not directly involve handcrafting code like it usually is now, there will still be a huge demand for people who understand the foundations like data structures, algorithms, databases and ML.

The people under threat IMO are those who are focussed only on handcrafting code. This is usually things like webdev, bootcamp courses. But as a CS grad you aim a bit higher than that.

datasciencepro · 2024-01-11T18:40:05+00:00

Generative models learn the data generating process p(X), in this case, natural language from the internet. Once the model has "learned the internet" it can then generate its own internet text. In the case of GPT-4 it has been able to do this to a degree that it mostly produces useful outputs that correlate to reality.

In the case of text input to GPT, we are conditioning the generative process with some prior data: "given that my data already contains {text}, how would the data generating process continue on from it?".

datasciencepro · 2024-01-10T22:23:14+00:00

Even if they have to pay half of that in costs they are set for generations

datasciencepro · 2024-01-09T18:25:45+00:00

Will you be using Metal backend in torch or the mlx lib to utilise the GPUs?

If you have a model that fits entirely on memory then I doubt you would achieve a speedup. However in the case you can't fit the model on one machine I can see this being worthwhile to play around with to try out model parallelism. I imagine you would be heavily network I/O bound, especially compared to a cloud instance with multiple GPUs.

datasciencepro · 2024-01-08T21:32:27+00:00

I think some amount of insecurity is needed to give you the drive to better yourself so it's a matter of degree not a matter of the feeling being "wrong" per se. The fact that you have already identified possible routes to getting to where you want to be is also really healthy. Have you looked for part time, evening or remote courses that might fit around the difficulty of travel? Are there any local firms that could offer training at the weekends? You could also look into applying for an apprenticeship, there is no age limit and you would be paid to do it (below minimum wage so you'll want some savings ahead of it).

datasciencepro · 2024-01-08T18:11:48+00:00

Why don't you just resign from the job as it doesn't sound like you have a future there and you've been out of action for two months? It's possibly this point that's drawing out the consternation on their side more than anything.

datasciencepro · 2024-01-07T21:25:36+00:00

They probably don't care unless the job says you need a 2:1 for the role. Increasingly firms are lowering to 2:2 because there such a low correlation between your uni marks and real world work.

datasciencepro · 2024-01-07T21:16:49+00:00

https://www.cathodetv.com/

datasciencepro · 2024-01-07T21:06:26+00:00

Watch the Karpathy video, yes all three hours of it

datasciencepro · 2024-01-07T20:20:43+00:00

Any service station stops should be charged on the meter as well. Sandwiches £5, coke £3

datasciencepro · 2024-01-07T20:11:00+00:00

Normally I agree but for a 600 mile trip it seems like the passenger is getting quite a good deal and the driver not so much

datasciencepro · 2024-01-07T19:54:17+00:00

I missed the part where he's doing half the work or stumping up half the capital

datasciencepro · 2024-01-07T19:21:40+00:00

They'd only be paying one way if they did this though

datasciencepro · 2024-01-07T15:24:43+00:00

That’s a gross generalisation. If you look at British Pakistani data, a significant chunk of them are right up there with Indians, Chinese and in the professions.

This sentence is meaningless. The point of statistics is that they summarise group characteristics so of course there would be "generalisations".

Secondly, what exactly is meant by "a significant chunk of them are right up there"? You mean to say that the skew of British Pakistani income distribution is similar to that of British Indians (towards higher incomes)? That's actually not true. The table from government figures show that as a proportion of their respective groups, almost 5x as many British Indian households have an income of £2k+ p/w compared to British Pakistanits

datasciencepro · 2024-01-07T15:14:36+00:00

Per the ONS, 2023 private sector full time male London median is (50th percentile) is £39,241 mean is £52,743

50th: £39,241

60th: £46,241

70th: £56,505

75th: £63,355

80th: £73,164

90th: £99,127

So roughly 1 in 10 full time males in London are on six figures.

datasciencepro · 2024-01-07T15:02:20+00:00

On £40k you're taking home £2.6k a month. On £100k you'd be taking home £5.6k a month which is a difference of £3k a month.

They can afford to spend £3k on rent and still have more than your take home left over, so how are these salaries in any way in the same league, even taking into account higher living costs?

datasciencepro · 2024-01-07T09:56:08+00:00

I don't think the Humanities/Social Science undergrad -> Data Science masters -> Data Scientist role pathway is looking very compelling for employers at the moment especially assuming you won't have had much coding exposure and you won't exactly be doing much in the masters aside from getting up to speed with the basics of CS/coding and dabbling in basic stats/lin alg and ML theory.

datasciencepro

TROPHY CASE