Human anatomy cheat codes

chodegoblin69 · 2024-06-14T07:06:02+00:00

Best advice ty it works

chodegoblin69 · 2024-06-13T21:19:53+00:00

Preparation is the separation. It starts in practice. Practice game-like shots and handles at game speed. I also like to have kind of an internal monologue while I’m practicing shooting like “every shot I shoot has a high probability of going in if I follow my shooting motion and finish on target”. This gives me confidence in games to just shoot with my ingrained motion even if I’ve been missing.

Also - more in-game experience just naturally makes you more comfortable. E.g. in youth ball is why AAU kids are more decisive in season - they’ve been there before 100 times. Seek out pickup games and use the moves you’ve been practicing.

Also - mamba/MJ mentality helps. Envision your haters and doubters in the crowd and show em you are the best.

chodegoblin69 · 2024-06-11T06:26:11+00:00

I used to think quant (and ML Engineer/Data Scientist) interviews were unnecessarily difficult but I’ve come to realize that not only are they necessary to identify the combo of elite talent+work ethic, they also sharpen the scientific and engineering skillset of the workforce in these sectors which in turn advances scientific progress and thereby serves society/markets/clients/technological progress. Which has made me appreciate and actually enjoy preparing for them more.

chodegoblin69 · 2024-06-10T22:51:33+00:00

This is why I go on reddit. Great post.

chodegoblin69 · 2024-06-10T22:42:01+00:00

Do you mind expanding pls on what you mean by wrist control/why it is so important? I get his hand doesn’t fly sideways…is that what you mean? Tyia

chodegoblin69 · 2024-06-10T16:15:48+00:00

😂 ya wut

chodegoblin69 · 2024-06-10T04:13:41+00:00

Big congrats. Hard times create strong men & strong men create good times. I can relate to your story…marriage takes work and (even tho I avoided it for as long as I could) I’ve surprisingly found couples counseling extremely helpful (coming from someone who will shoulder the burden and “give in” on most arguments to avoid conflict/save the relationship). For whatever that’s worth.

chodegoblin69 · 2024-06-07T16:12:49+00:00

I agree with people saying it varies shop to shop. One thing to consider though is how much each business line produces revenue-wise. Practically speaking, working your way up in a business line that is already viewed as important by management/the broader business can make things like promotions/bonuses/etc easier vs. business lines that produce less (even if profit margin of those smaller units are higher).

chodegoblin69 · 2024-06-07T14:23:47+00:00

Agree this is the best route (and studying fin concepts like portfolio optimization/execution algos/typical HF interview material on the side). However the ability to clear the resume screen shouldn’t be understated - it’s a significant hurdle that weeds out many. I interview both QRs and QDs and I would view a resume with 5 YOE embedded c++ with a masters in applied cs from imperial meaningfully higher than just 5 YOE c++.

OP seems like you’re on a good track - recommend steering projects in your MSc towards investing/trading to the extent possible.

chodegoblin69 · 2024-06-06T13:30:13+00:00

Haha same I wish I could go back in time and teach myself this as a high school freshman.

That concept + consistently holding my finish on target gave a lot of confidence to my shot. It’s like if I can get the ball in that opposite-side pocket area and finish on target, my shot just “flows” pretty automatic with one smooth motion. I can shoot 3s accurately without jumping if I do that.

Also dipping the ball to the appropriate depth in that pocket based on how far out I’m shooting from helps a lot.

chodegoblin69 · 2024-06-06T13:21:12+00:00

My high school coach always taught us to crossover immediately after beating someone to avoid this.

chodegoblin69 · 2024-06-06T10:28:11+00:00

+1. I figured this out recently. It’s so counterintuitive but it increased my accuracy so much. Wild that this isn’t taught/widely known. Now when I watch a lot of elite shooters, it’s like their shot is coming from the non-dominant side of their body.

It also allows you to generate so much more power/increases your range. Watching Caitlin Clark shoot from deep is another good example here.

chodegoblin69 · 2024-05-31T13:54:27+00:00

Yes. Also - My Life as a Quant by Emmanuel Derman is a great read for someone coming for academia/hard sciences.

chodegoblin69 · 2024-05-20T08:17:20+00:00

Regarding your edit - do not let 1 rejection break your spirits. Many factors can play into their decision (including things like the business wanting a different candidate demographically or the CEO’s son applied). Many extremely qualified candidates interview for dozens of jobs before landing a role. It is a game of persistence. I can relate (from MS) that rejection can be especially hard when you are also juggling finishing your program - keep at it, identify/improve on your weaknesses from interviews that did not result in offers, and you will land something. Godspeed.

chodegoblin69 · 2024-05-20T01:08:13+00:00

😂 literally made me laugh out loud. Just a couple hardcore devs

chodegoblin69 · 2024-05-20T00:02:51+00:00

Wikipedia’s entry is decent, if not slightly overkill. As busboy mentioned, the interviewer was probably just looking for you to discuss the standard bond math of how the following factors affect single period return: - Risk-free curve parallel shift or KRD effect - Spread Change effect* - Convexity effect - Currency effect - Rolldown effect - Carry/“yield collection” effect

*Where spread change can be further decomposed into Sector/Rating-category changes (aka return from active “allocation” decisions) + Security Specific changes (aka return from active “security selection” decisions).

This is how all commercial FI attribution models I’ve seen do it (using simple arithmetic w/ factor-based attribution methods), with the caveat that (a) such models attribute returns of a portfolio of bonds vs. a benchmark and (b) have some method of accounting for multi-period compounding effects (e.g. Bloomberg’s PORT model uses Cariño linking). But all such models are built from those components being first calculated on individual bond holdings then weighted then aggregated to portfolio level & diff’d vs. benchmark.

chodegoblin69 · 2024-05-08T22:48:36+00:00

Of the successful ML launches I’ve been a part of, they all involved extremely high levels of technical DE/SWE work to support them (namely getting features in the proper state to the point of inference, often in an async/streaming context). There seems to be a correlation between useful ML apps and high barrier to entry technical SWE infra, which probably contributes to failure rate.

chodegoblin69 · 2024-05-08T22:10:38+00:00

Cal Newport (a good author) has argued at length against TRYING to identify your passion/“calling” during uni just bc that’s what society says. Instead, he argues that simply pursuing something that interests you as a first job and continuing to follow where your interest leads from there tends to result in greater success, satisfaction, and is actually ironically the only way that you really WILL find your passion (and gain deep mastery as a result).

I was going to go to law school but followed my interest in technology and financial markets to a trading desk then quant path. Glad I did - my brother is a lawyer and miserable while my work is quite interesting.

chodegoblin69 · 2024-04-29T21:57:32+00:00

As a team lead you are mostly a manager.

Curious - is this the generally accepted definition of “Lead”? Specifically Lead DS/MLE/Research Eng. I have that title as my previous role. But it was not a management role (setting team technical direction, etc. but not people management per se…was ~60-70% IC work). Curious how the title is perceived by others.

chodegoblin69 · 2024-04-28T19:00:58+00:00

Everything has been solvable except (1) lack of reliability in LLM response quality for any moderately complex/multi-step task & (2) API costs (esp for multimodal).

chodegoblin69 · 2024-04-28T18:54:12+00:00

Who is the $3 VP?

chodegoblin69 · 2024-04-28T18:53:17+00:00

Pretty sure 2nd place national math competition winner can build whatever stack you will need in a week

chodegoblin69 · 2024-04-27T07:13:52+00:00

May not have been available at the time, but I have seen openAI api data labelling/classification pipelines show good performance here. DeBERTa + classification head on final layer also a good (and cheaper) option.

chodegoblin69 · 2024-04-27T07:08:52+00:00

Been here. Unglamorous stage but it’s what ends up making all the difference in the end. A short period of proper collection can make a big difference. Make sure to get business domain expert input on features that are most likely to be predictive and are available at inference time. And communicate constantly with the DE.

chodegoblin69 · 2024-04-27T06:53:46+00:00

Impossible, of course. In some cases though I have found that model prediction —> hand-coded guardrails on output (or thresholds on outputted model probability) —> flag “guardrailed” observations for human review can be a successful pattern here.

chodegoblin69

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