if you can't intuit it then you're ngmi
machine learning has been obvious since the 1980s; the only reason it's popping up now is because the new generation is shameless about not being able to do anything
depends on your background. sorry for the link but here:
https://www.nvidia.com/en-us/training
Damn, I have a lot of things to catch up on. I'm pretty good with the mathematical side of AI, but I feel I should probably go through these just to keep up with "trendy" uses of it. I saw Microsoft have a set of AI training courses too.
if you dont know python you can become an MLE. Everything is done in python. Nobody cares its slow when training can take hours anyway. It just works. cpp gays have to code all day what a python gay does in ten minutes
this would require that you have world experience outside of mathematics related to technology
6 months ago
Anonymous
What sort of experience? How do I acquire the forbidden knowledge of machine learning that doesn't need maths?
6 months ago
Anonymous
as i said hats off to mathematics. it just is overly trusted in technology.
operations examples could include cyber warfare and cybersecurity standards.
6 months ago
Anonymous
How does this relate to machine learning/ statistical learning?
if only you had a device with all the worlds knowledge a few characters away
become a machine
I learned it via jelqing, anon.
if you can't intuit it then you're ngmi
machine learning has been obvious since the 1980s; the only reason it's popping up now is because the new generation is shameless about not being able to do anything
Yes the iq in the general population is declining. That's a good thing for us
depends on your background. sorry for the link but here:
https://www.nvidia.com/en-us/training
better one:
https://www.nvidia.com/en-us/training/online/
Damn, I have a lot of things to catch up on. I'm pretty good with the mathematical side of AI, but I feel I should probably go through these just to keep up with "trendy" uses of it. I saw Microsoft have a set of AI training courses too.
dont use microshit. ML is all about data and training custom models. the best framework is tensorflow.
>microshit
Opinion discarded. Machine learning in the future is going to be able pushing computation into the cloud.
if you want the simple constrained way yes. local models that preform a task perfect are still op.
>best framework is tensorflow.
Imagining thinking that.
ML is probability. that is best controlled using your data and GPU within a cross platform framework. what would you use instead?
Iteratively.
Dammit doing code in python is fricking addictive. It's perfect for my autistic ideas
BOT doesn't love it. it is not the best, but for ML its works.
if you dont know python you can become an MLE. Everything is done in python. Nobody cares its slow when training can take hours anyway. It just works. cpp gays have to code all day what a python gay does in ten minutes
you cant*
tell me more about your one language and lack of knowledge about an OS
dont care am making good money in DS because I majored in math not CS like a loser
please tell me you can use a terminal?
true, and if needed that extra speed you can tell python to build it in another language.
you just take your machine to a machine obedience school
????????????? are you a machine? why are you the one doing the learning
Generally, you want a mathematician to explain it to you. This playlist of lectures touches on all the important points of "getting" what ML is about.
https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV
t. student doing his thesis on ML accelerators on FPGAs
or you could learn the operations that easily break mathematics.
what operations?
the ops outside of theory of how it should work. maybe into ways on how you can break it.
Can you give me an example of an operation that breaks mathematics and violates how it should work?
this would require that you have world experience outside of mathematics related to technology
What sort of experience? How do I acquire the forbidden knowledge of machine learning that doesn't need maths?
as i said hats off to mathematics. it just is overly trusted in technology.
operations examples could include cyber warfare and cybersecurity standards.
How does this relate to machine learning/ statistical learning?
or some simple cause and effect research and who if going to protect your school
theory is great until it break operations. common sense.
hats off to these fricking chads. honestly though they ruin technology.
stay in your fricking school sandbox.
The machine does the learning, dumbass.
You don't learn it, it insists on itself.
Ask a machine-learned machine how to learn machine learning.