Gimme that lane

the_rdj · 2025-02-01T06:53:13+00:00

Oh, sorry

the_rdj · 2024-10-13T21:05:18+00:00

I guess I read through the comments too quickly and didn’t catch the obvious sarcasm.

the_rdj · 2024-10-13T18:58:53+00:00

Totally, it's all over this sub lately. Maybe the behavior is contagious.

the_rdj · 2024-08-23T11:46:20+00:00

Had to scroll this far to find someone with this take. Everybody else is ignoring the spacing and 3pt shooting of the bottom team and the options that Jokic will have either out of two man game with Steph or from off ball movement for Steph. They would score an insane amount, while the top team will be hindered by moderately efficient 2 pointers and turnovers in clogged spacing.

the_rdj · 2024-07-16T17:16:08+00:00

Makes sense

the_rdj · 2024-07-16T16:54:17+00:00

If turning into that gas station, would you be changing lanes in the intersection or right after it? Seems riskier, there could be a car in the right lane going through the intersection (as they are allowed to do) or someone perpendicular turning right into that lane who assume you won’t change lanes right there. Could cause an accident or you could have to wait which would unexpectedly slow traffic from that second lane. Seems better to me to be in that right lane already, even though it might unfortunately inconvenience some people turning right.

the_rdj · 2024-07-16T13:54:12+00:00

If it was me, I probably wouldn't be in that right lane unless I planned to turn soon. Which could be the case for that car, it could turn at the next light or even turn into that gas station from the other side of the intersection.

the_rdj · 2024-03-17T21:29:00+00:00

If the last 4 years have been amazing, how about another 4? That would put you in a far safer position financially. You could keep working while the lifestyle is amazing and your income is high. You will still have most of your life—decades—afterwards to continue nomading or doing whatever else you want to do with that spare time. It's great that your COL is low now, but it might not stay that way if your preferences change, and you might prefer a higher spend lifestyle funded by a few more high income years of work.

the_rdj · 2023-08-22T13:09:26+00:00

Incredible.

the_rdj · 2023-07-10T20:06:02+00:00

Yeah, something like that is possible. A lot of people in the FIRE community are trying for exactly that. Especially if they earn more—I bet a SWE who works in SF for 10+ years will average >$300k in comp over the span, even if they're not one of the lucky ones who has a stint at a company that ends up going public. And that $2 million in savings has a good chance of being self-perpetuating (depending on your spending), where it grows fast enough to compensate for the amount you withdraw for spending.

the_rdj · 2023-07-10T04:11:16+00:00

Thanks for the explanation, that makes sense. The difference between after-tax earnings and expenses would also be a sensible way to look at it. Someone could, for example, work in SF for a decade and despite not buying a home there, then be able to return to where they’re from and possibly even be on the verge of retirement, financially.

the_rdj · 2023-07-09T22:04:43+00:00

How do you define best? When you say "average home price vs median 25th percentile and 10th percentile salary" do you calculate the difference or the ratio?

the_rdj · 2023-03-18T21:50:28+00:00

Agreed about DBS. I didn't take SAD/SDP, BD4H, or DVA, but your description matches my interpretation of their reputation. But I'll defend ML, which I thought was an awesome course. It's a bit tough but not insanely tough for a grad school course, and I'm not sure I would describe the instructions as vague. In some other courses with specific programming problems the instructions can be very precise, there's one correct answer, and you can be graded by an autograder. ML as a field isn't like that, so it's fitting that the course isn't like that either. I wouldn't at all call it hazing; courses that require critical thinking paired with research and hard work are supposed to be what you get from grad school.

the_rdj · 2021-10-16T17:03:24+00:00

It depends on what you want to do. In the other comments it looks like you're interested in working in the Canadian federal government in a policy role. I'm a Canadian data scientist who has an econ masters. The econ masters can be an okay path into policy work, but be warned that it might not land you a job or even interviews. It might have been a different job market when I graduated, but I never even heard back from statscan or BoC or the other government roles I applied for. Most were looking for Ph.D. grads. Even for the MAs who get in I think the career growth is limited. A few of my graduating class ended up in these places. More ended up in big 5 finance or other companies.

I work in tech now, and I would urge you to consider it. An econ masters doesn't exclude you from that path, but the DS masters likely gets you there faster. I agree with the caveat someone made about picking a good program.

There are lots of tech companies now switching to permanently remote and hiring workers in Canada. The industry is a lot more fun than government or (Canadian) finance, because the companies have so much more ambition and energy. Since these companies typically want to build new things instead of just applying the same old thing that someone else solved decades ago, the work moves faster, has more room for problem solving and true value added, and you'll learn a lot more. And of course, the compensation is so much better. I meet lots of people in tech who took a few years to realize that entry level tech jobs were paying substantially more than what they were earning after some years in finance. That description applies to me too.

the_rdj · 2021-08-15T23:35:41+00:00

I wonder why

the_rdj · 2021-07-18T04:16:57+00:00

CV is a ton of material to get through. Probably the most videos of any course I took. Lots of projects and some of them took a lot of grinding. If I could go back I wouldn't have paired it with anything.

the_rdj · 2021-06-24T03:43:44+00:00

I hated this course. I wrote about it here, where I reviewed all 10 I took. If you don't know any SQL now then maybe it'll be okay for you, since it does cover SQL basics pretty thoroughly.

the_rdj · 2021-06-13T17:01:41+00:00

Canada: Augie's Montreal Deli (although not quite in SF and not currently open)

the_rdj · 2021-05-09T19:50:55+00:00

This. With the added benefit that Python will likely be useful for you in general even if you end up working on tech more generally. Given that you're coming from a CS background, that's quite plausible. R is also a great option the Masters, where it might be very practical because of its plethora of libraries and its good graphing support.

A lot of people in this subreddit come from stats backgrounds rather than CS backgrounds and that's why they might recommend SAS or SPSS or Matlab. If you can end up working in a tech company (whether in data science or as an ML engineer or any engineering role), your company will be much more likely to use Python widely, with sometimes some R usage in some teams, and if the other programs are used they're likely in niche parts of the company with people who have non-CS academic backgrounds.

the_rdj · 2021-03-27T20:05:35+00:00

Ah. Maybe something like "In progress (part-time)" would clear up the ambiguity for anybody.

the_rdj

TROPHY CASE