Posts for the month of July 2020

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.