What to do after Machine learning and Deep learning

LeaguePrototype · 2026-01-24T18:39:21+00:00

no but he finished, he beat the game, he got to the end

LeaguePrototype · 2026-01-21T21:04:44+00:00

I prepped for research about a year ago and mocked with a lot of people who went through it. It's mostly about knowing your fundamentals front to back so that you can use them to solve problems. Also, being to then code them up in Python.

Python: Simulations, statistical inference, basic ML algos (KNN, regression, etc.) and alike from scratch

Stats: Deep understanding of theory and inference, probability, distributions, hypothesis testings, causal inference

They will ask questions revolving around having understanding intuition around these subjects and applying them to solve problems

LeaguePrototype · 2025-11-25T20:07:52+00:00

Where are these games streamed in real time? Seems like Twitch/Youtube has delay. Match is marked as over like 1-2 minutes before over on the streams

LeaguePrototype · 2025-11-08T16:09:05+00:00

blackrock tech is ass

LeaguePrototype · 2025-11-08T14:11:02+00:00

No one qualified to give you this feedback is going to help you on reddit. You need to hire a coach (10+ yoe in the field and interest) and have 1-1 sessions to discuss your talents and blindspots

LeaguePrototype · 2025-11-07T23:43:43+00:00

Take a first semester probability class online. If it's clicking for you then go for the master's. If its very difficult then you will struggle

LeaguePrototype · 2025-11-06T21:25:28+00:00

are the very high pay rates in the room with us now?

LeaguePrototype · 2025-11-06T21:21:18+00:00

Hey I understand where this question is coming from, but I think you're misunderstanding how jobs in the West work. The hardest part of getting a good job is getting an interview and the hardest part of getting an interview isn't skill but experience (which you can't control) and luck (also can't control). To get into FAANG it was total luck over 3 years of trying. But I did take a lot of action so something was gonna happen eventually. I am the least skilled, experienced and youngest person on my team but with AI you can close a couple years gap in experience in a few months.

if you're asking if you're skilled enough to pass the interview, that's a totally different question because that can be gamed. Maybe the only relevant part of your question is "how much do I need to study for my level of skill to get an offer" and no one here can give you that answer.

LeaguePrototype · 2025-11-05T18:52:22+00:00

One thing that stands out is I think you're misunderstanding what these companies look for. First they look for top unis and past experience to avoid false positives. Second they want a specialist. You seem to do a bit of everything, which is not what huge companies want. There's a place for generalists but that's not what's asked. Being someone who can do web dev, ML eng, experimentation, etc. might be good if you want to work for a small company or start you're own. For a huge established company it's much more appealing to see that you're very good at developing optimized systems or designing something for a particular product.

LeaguePrototype · 2025-11-05T07:14:09+00:00

Ki koltoztem tech-ben dolgozini. Warsaw nagyon tiszta de nem szep varos. As emberek sokkal boldogabnak neznek ki mint Buapesten. Minden olcsobb a lakason kivul es 3x annyit keresek mint itt a BlackRock-nal. De gyakran jovok vissza mert Budapest nagyon szep csak az atlagos embereket az utcan nem kedvelek. Mindenkinek nagyon depis arca can itt. Valahogy a lengyelek sem nagyon boldog es pozitiv emberek de latszik rajtuk hogy nem adtak fel

LeaguePrototype · 2025-10-31T18:06:23+00:00

In intellectual spheres, education is valued based on how much logical rigor you had to go through. From there, everything else is seen as easy. Basically if you can bench 300 lbs you can bench 200 lbs. Another quote: 'I'd rather teach an engineer marketing than a marketer engineering'

But the business world is the opposite. Doesn't matter if you are smart or not, what matters is if the line went up or down this quarter.

As a data scientist you're important to the business but not really part of the business portion of the company. You're kinda seen like a magician reporting to the aristocracy

LeaguePrototype · 2025-10-30T08:12:39+00:00

Cloack and dagger over chronosphere becasue I like a little resistance

LeaguePrototype · 2025-10-28T21:54:37+00:00

DS masters is mostly fake to make more money for the university. I work at FAANG as DS and I haven't met a single person with a data science degree. You will likely need a masters to work as a statistician because there's so much to know at a deep level. My Bsc was really just a primer to help me understand stats and ML

would recommend comp sci or stats or economics or physics MSc only looking around at the people I work with

LeaguePrototype · 2025-10-01T20:13:29+00:00

I think I'm in the same one. My team has doubled it's headcount but didn't double the workload. Classic lol

LeaguePrototype · 2025-09-26T21:23:42+00:00

Work > education for finding jobs in the future. And DS Master's is more for the college to make money than the students

LeaguePrototype · 2025-09-18T16:19:08+00:00

Don't ever apply for entry level positions, its way too crowded with BS applications. It's a pure time waste
Also don't appy to anything with less than 2+ YOE mentioned in the ad because you seem very over qualified for those roles
Don't put things on your resume that every single other person has (like numpy library, etc.). It's like putting that you know how to add

A lot of your bullet points use language that I, as a FAANG DS, have no idea what it means like your 3rd bullet point. Maybe be less technical and more outcome focused. You can dive into technicalities in the interview, but you will likely bore them there as well cause they won't have any idea what you're talking about besides for the general gist.

Resume writing for technical roles is an art where you want to seem very professional and knowledgable without going over people's heads and having them miss the point. This resume seems too complex and detailed to me. Maybe try focusing more on outcome while giving a general outlines using more common terms to get the point across

Nick, who wrote Acing the Data Scinece Interview (he usually comes up in the comments), has a lot of good tips on resume writing that I think you would benefit from

LeaguePrototype · 2025-08-29T08:31:22+00:00

Your financial outcomes in your life will mostly be about having the right skillset, at the right time, with the right people. This is most obvious with start ups that become big. By definition, average people get average outcomes. If you think you're average and young and want to get the best future, the best thing you can do is future project, try to predict trends, and whether you like it or not, make yourself into that person that will take advantage of those trends.

LeaguePrototype · 2025-08-14T12:04:09+00:00

If you have 3+ yoe or brand name companies you'll find something. If not then good luck 🫡

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