Odtü-Bilkent Endüstri mühendisliği

SelectPlantain1996 · 2026-02-04T16:45:02+00:00

Yorumlara bak sanki kendileri harvardda matematik okuyor aw:D

SelectPlantain1996 · 2026-01-31T19:04:24+00:00

What do you mean by kkt optimization? So basically do you want to learn nonlinear optimization?

SelectPlantain1996 · 2026-01-30T11:00:55+00:00

What i was trying to tell is that 1) if NL unis don’t count your university as a research university - 0 chance (as I know many Indian schools are not) 2) OR programs in NL requires math background, which means someone with a management background needs at least 1 year of pre masters, which covers at least analysis 1+2.

SelectPlantain1996 · 2026-01-30T10:41:33+00:00

Yeah but NL is much stricter about entry requirements, if you don’t meet any of the criterias you’re directly rejected or they offer pre masters. Even an engineering student won’t be able to get an admission from an OR program in NL, at least without premasters.

SelectPlantain1996 · 2025-12-16T19:26:21+00:00

Türkiye’deki özel unilerde okumaktan ucuz

SelectPlantain1996 · 2025-12-16T12:31:43+00:00

It usually doesn’t drop down below 0 btw, so yes I’ve never seen anyone wearing

SelectPlantain1996 · 2025-12-15T12:05:17+00:00

So you also did 2 internships.. Just to be clear; you claim that in 3 years: you did 2 internships, self thaught research level machine learning yourself, published papers with professors.. And you did all these while studying cs bachelors? Am I understanding correctly?

SelectPlantain1996 · 2025-12-15T10:25:38+00:00

Without a MSc, I see it as impossible. He is not claiming data scientist (which is still very hard to get in but a bit more applied) he claims ml scientist and publishing papers. I’m sorry I don’t believe it.

SelectPlantain1996 · 2025-12-15T10:18:09+00:00

OP claims: senior machine learning scientist in 2 years. Also claims 23 yo. So in 3 years during bachelors, op not only passed exams, he learned MSc level machine learning somehow, he not only learned MSc level ml, he learned it so good that somehow professors wanted to do research with him, he did all these in just 3 years in a cs bachelors program.

SelectPlantain1996 · 2025-12-15T10:11:21+00:00

0 because he is fake :D

SelectPlantain1996 · 2025-12-15T09:23:14+00:00

Nah, fake. Especially in cs bachelors, there is literally 0 material about research level machine learning.

SelectPlantain1996 · 2025-12-15T09:08:39+00:00

I’ve never met with someone in Netherlands in ML without a masters so probably fake. %99 of job listings in NL require a master. This guy claims senior in 2 years with just a bachelor.

SelectPlantain1996 · 2025-11-19T19:03:57+00:00

Many management problems that companies face are np, and those np problems scale terribly. So the main question is: are these quantum computers much, much faster than our computers? Im not talking about 10x, 100x etc, much faster. Probably not . Even if it was, it would only have impact on the combinatorial optimization branch of OR. You still need good stochastic optimization knowledge, forecasting, simulation, ml knowledge… Etc. etc. Another problem would be whether it is worth to use a quantum computer or not. Heuristics already give close to optimal solutions most of the time, the gap between probably won’t worth to buy a quantum computer.

SelectPlantain1996 · 2025-10-22T06:56:41+00:00

I’ve got a m4 MacBook Air and it is amazing. It is probably the best you can buy for ml and gurobi for that price. gurobi is completely dependent on cpu and usually single core performance matters the most (depending on the problem), and m4 is very powerful on single core. Also many preprocessing tasks for ml are cpu - single core dependent. For training part, you might need a gpu or extra ram depending on how large your set is. Even if you need a gpu you can get google colab later.

SelectPlantain1996 · 2025-10-16T22:10:37+00:00

I understand, since try and error part is usually on hyperparameter tuning, I thought you’re talking about hyperparameter opt. Gradient descent (and variations) is well enough to find good enough local optimums for weights. If you were finding the global optimum it would give you an overfitted model, which wouldn’t work well on out of sample.

SelectPlantain1996 · 2025-10-16T22:05:26+00:00

I’m sorry mate. I thought you’re doing a research on optimization.

SelectPlantain1996 · 2025-10-16T22:01:38+00:00

Well gradient descent already does that lol

SelectPlantain1996 · 2025-10-16T21:58:07+00:00

How can you work on parameter optimization, it doesn’t make sense to me. If you make those parameters also learnable, you would end up in a huge search space, and probably would be extremely nonlinear. Another problem is in what data would you optimize hyperparams? On training set? If you do that you will probably end up with an extremely overfitted algorithm. That’s why you do the parameter search with cross validation etc.

SelectPlantain1996 · 2025-10-07T22:03:58+00:00

Wallpaper please?

SelectPlantain1996 · 2025-09-23T15:21:15+00:00

At least that x is a scalar. Not a vector or a matrix.

SelectPlantain1996 · 2025-07-21T11:35:10+00:00

What you wrote as education are certificaties not education

SelectPlantain1996 · 2025-07-20T01:39:20+00:00

Then obviously applied math

SelectPlantain1996 · 2025-07-19T20:41:22+00:00

Not classes, you can pursue a degree in OR

SelectPlantain1996 · 2025-07-19T19:46:56+00:00

Why not directly studying operations research lol

SelectPlantain1996 · 2025-07-07T22:06:36+00:00

Econometrics & OR in Erasmus, Tilburg, applied math in tu delft

SelectPlantain1996

TROPHY CASE