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/sci/ - Science & Math


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10477472 No.10477472 [Reply] [Original]

Give one good reason why you aren't studying machine learning like all the other kids

>> No.10477502

lack of motivation

>> No.10477503
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10477503

>>10477472

> not immediately realizing a field is a complete meme cus its filled with women

>> No.10477542

>>10477472
Because my statistics degree isn't a meme and I can easily learn ML skills in a week without being btfo once another fad comes along

>> No.10477544

>>10477542

statistics is a total meme degree

>> No.10477624

>>10477544
t. Someone who hasnt taken any statistics courses

>> No.10477650

>>10477624

statistics is its own department, its just educated guessing
it's not math and even a total retard can learn it

>> No.10477656

>>10477650
>he doesnt believe that probabilities exist and make things uncertain so the best course of action is to make educated guesses
youre extra chromosome was a coin flip you failed

>> No.10477664

>>10477656

statisticians cant even deal with coin flips that are discrete and continuous at the same time

>> No.10477727

>>10477650
Jesus sci has gone down the drain

>> No.10477772

>>10477727

t. somebody who has no clue about math and thinks stats is math

>> No.10477807

>>10477472
'cause my science involved taking many different kinds of detailed measurements and using them to explain observations, and machine learning is just useful for routine analysis of large datasets.

I should still be learning machine learning though. But it's just not very useful to my specific type of research.

>> No.10478228

>>10477503
I thought so too but now I use it at work.

>> No.10478241

>>10477772
Statistics is literally founded on measure theory.

I'm tired of undergraduate kiddies talking like they know everything

>> No.10478262

>>10477472
its a field for brainlets

>> No.10478296

>>10477472

I'm studying computer vision. I like it better.

>> No.10478394

>>10478241
That's the majority of the people who browse this board, unfortunately.

>> No.10478405

>>10477472
It lacks a mathematically rigorous foundation.

>> No.10478445

>>10477664
>continuous coin flip
kek

>> No.10478487

>>10477472
It's boring.

>> No.10479677

>>10478241

statisticians know jack shit about measure theory and you know it

>> No.10480149

>>10477472
I like rockets too much.

>> No.10480157

>>10478405
>what are generalization bounds

>> No.10481690

>>10477472
Because ML is a meme and you should be studying genetic engineering. Genetic engineering and biotech will be big just like how software is right now. Genetic engie grads will be earning 300k starting while CS cucks and math fags will barely earn enough to eat

>> No.10481760

>>10477624
Do you know what a measure is? Martingales? Ito integrals?

>> No.10481779

>>10477472
CS chad here.

I am.

>> No.10481801

>>10481690
Huge iq post

>> No.10481814

>>10477472
That's the most beta soi boi Indian I've ever seen

>> No.10482159

>>10481690
can any other /sci/entists confirm this? Is genetic engineering not a meme?

>> No.10483065

>>10481690
Top fucking kek retard. For the last 10 years you've been having to suck dick for 20 bucks just to pay tuition costs, meanwhile, any dumbass out of a coding bootcamp is starting out at 60k.

Genetic engineering has been a meme for the last 10 years and it will continue to be. Regulators and people like Elizabeth Homles are to blame for the current state of affairs.

>> No.10483079

>>10480157
Useless.

No a priori error estimation => no rigor

>> No.10483082

>>10482159
Watch bioengineering companies on the stock market. They went up. CRISPR/CAS9 stirred shit up.

>> No.10483086

Because Machine learning has been stagnating since late 2016 and we are entering a new AI winter

https://blog.piekniewski.info/2018/05/28/ai-winter-is-well-on-its-way/

>> No.10483093

>>10483086
Bullshit.

>ANAS
>self normalizing ann
>usage in engineering with energy as loss function
>quantum machine learning
>...

>> No.10483117

>>10483093
>it's not stagnating
>lists desperate attempts at new flavors of the meme
why prove yourself wrong. it's obviously over and done

>> No.10483166

>>10483117
Those are all working right now. I'm literally producing results with these.

>> No.10483944

>>10483166
No you're not, you're just writing memes

>> No.10484498

>>10478296
Your field of interest is BTFO'd by machine learning. Find me a recent paper not using it.

>> No.10484745

>>10484498
computer vision is literally a subset of ML. when i hear someone say they do "computer vision" i assume they mean ML