/sci/ - Science & Math

data science is gay. Learn to make the world a better place instead of creating police state tech.

>>12541778
I can't wait for the data science meme to end and every last data scientist ends up giving blowjobs for baloney sandwiches


check my digits it'll happen.

>>12541791
Don't worry buddy, just repeat that a couple hundred times and throw away the ones that didn't work.

It'll work eventually just like ML :^)

>>12541778
both are memes which are popular mostly of hype.
ML ai is/will be a number of disappointments in over expectations(where are 1milion of self driving tesla taxis, private investors escaping from ml startups etc.).
Data science was always overhyped but suits love it, simply to say what they done and how important for company are they while most of their changes are actually meaningless.

>>12541787
Police state tech is cool tho

>>12541778
Machine Learning is literally the exact same shit as connectionism from the 80s

>>12541787
I'm learning data science to finally prove beyond doubt that niggers are low IQ and violent.

to this day i still don't know what data scientists actually do in the workplace
and why the supposed high salary

>>12542141
No, god was raised in egg.

>>12541778
OP pic is literal bullshit, both 'data science' and 'machine learning' are memes, they don't exist at all

>>12541778
Hype is already over. You're too late. All jobs are taken. You may still have a chance at smaller companies.

>>12541778
>be me
>get data from god knows where
>pre-sorted
>use pre installed software that take in that data
>make graph
>ohhh pretty color
>send it off god knows where
>300k starting
>any graph I want

>steal data from somewhere
>throw bunch of linear algebra at it
>do it again
>colors look pretty much the same
>ok it converged

>>12543764
Yeah. Any new hype on the horizon? I see none except 'climate science' and gender/sjw shoehorns in the sciences.

>>12543777
Maybe quantum computing. Depends on hardware progress though. Current estimate is that we'll have a useful amount of error-corrected qubits by 2030 at the latest, but ever since China entered the stage, more money and effort is out into it, so my guess is that we'll see good stuff around 2025.

>>12543765
>>12543771
if this is actually what data scientists do in a nutshell then no wonder it quickly became a meme

>>12541778
why yes i do know how to program in python

>create Bayesian reasoning model
>base population misrepresented by samples
>confusion matrix has fat off-diagonal entry
>kek, as if anyone's gonna check
>publish away

>>12541962
you underestimate the power of "good enough"

concrete science takes time, $ and very delayed ROI

ML is the "good enough" option with significantly less time and $ investment.

if you think from big cooporation and small corporation perspective why not just use the "good enough" innovation and rake in the profits and then rake in more profits from newer "good enough" innovation instead of waiting for concrete science

That is the reason even though Google Alphafold 2 is not concrete science most companies and pharma companies will start gravitating towards such models for quick approximate discoveries and quick profits

Infact most likely opposite of what you said is likely going to happen and most of the concrete science efforts will be replaced by - dump huge data into model, check validity and novelity, if all yes then use it for new product.

There's not enough jobs to accommodate the legion of data science graduates.

>small operations
Anybody with back end skills can handle data implementations, management, etc. No expertise in data science required.
>large operations
Limited positions, limited jobs. Only so many people can work for Google.
>research
How many people are needed to work on breakthrough algorithms? Not many.

You're just jumping on a bandwagon. There's a lot of money being pumped into data right now, but it's not enough to employ everybody. And the number of data jobs isn't going to grow by much. If anything, it'll shrink as more consolidation happens.

>>12541962
Er, no. What "data scientists" did for companies was finding ways to optimize sales and minimize cost by simple statistics.
Buddy did an estimation algorithm for a shoe company that optimized how much staff was in store to accommodate the average number of customers on given days, saving the company a few employees.

I want to get math degree before data science