🧵 Operations Research
Anonymous at Wed, 26 Mar 2025 13:56:11 UTC No. 16628996
why is it so irrelevant?
>r/DataScience
>2.6 Million subs
>"5,676 hits for Data Science jobs in your area"
>r/ArtificialInteligence
>1.4 Million subs
>"3.556 hits for Data Science jobs in your area"
>r/OperationsResearch
>7k subs
>"54 hits for Operations Research jobs in your area"
what da actual fuck?? someone please explain this to me cause i seriously dont get it.
im about to start a biz m.sc with focus on OR and im worried
Anonymous at Wed, 26 Mar 2025 13:56:46 UTC No. 16628997
>>16628996
>>"3.556 hits for Data Science jobs in your area"
>"3.556 hits for Artificial Intelligence jobs in your area"
Anonymous at Wed, 26 Mar 2025 14:52:29 UTC No. 16629033
>Given the importance of presidents, why are there so few job openings for presidents?
Anonymous at Wed, 26 Mar 2025 14:59:09 UTC No. 16629035
>>16629033
difference is niggas compete for president type roles. I dont think anyone competes for Operations Research type roles. Else the OR sub on reddit for example would have more followers.
Anonymous at Wed, 26 Mar 2025 15:35:45 UTC No. 16629052
>>16628996
Related but not approved by kikes. Data science is 70% theoretical results from econometrics and 30% computational advances to calculate iterative gradients. (chain rule)
Here is the blackpill:
Anything related with optimization is either operations research or econometrics and nothing else.
Anonymous at Thu, 27 Mar 2025 09:56:26 UTC No. 16629697
Redpill me on Operations Research, whatever it is
Anonymous at Thu, 27 Mar 2025 12:14:19 UTC No. 16629774
>>16629697
Operations Research is applied optimization. the father of machine learning if you will since most data science and AI is jutst optimization anyway. Its about finding the best possible solution under constraints for example minimum cost or maximum efficiency. That includes linear programming, integer optimization, network flows, graph algorithms, shortest paths, max flow, vehicle routing, scheduling. Its math-heavy and used in everything from airlines to military logistics. the theoretical foundations are ancient (like with AI) and go back to ww2. its got way less hype than AI tho
the pic in OP is what OR deals with a lot. you have a function that you want to maximize
>c*x
and constraints
>Ax less than or equal to b
example:
A company makes chairs for 40 USD profit (3 hours each) and tables for 70 USD profit (5 hours each). They have 100 labor hours total and cant make more than 16 tables. Now solve.
These type of problems become computationally very expensive the more variables you add and oftentimes cannot be solved in reasonable time.