Posts in category ML

Half of ML in one post

You don't even know what you're talking about and throw random buzzwords

lol, so you didn't get the argument. ok. I will try to spoonfeed

classification algorithms are applicable only to a discrete, deterministic environments, which are stable and finite. language is such an environment, pictures, obviously, because cats have stable traits which do not change at all, etc. I hope you get the idea.

markets have no such stable traits, so each and any classificator will be plain wrong. it will capture noise and will produce a noise, no matter how much data you feed to it. no stable traits - no ML classification possible.

it is that simple lmao. to have pattern-recognition you have to have patterns. real, not abstract and imaginary.

you code will work, but your results will be noisy and inconsistent.