Hey! How do I do machine learning?

Well first you start off with a metric shit ton of data.
And then you .fit() your data
from there you can .predict() your data

Trust me, the algorithms are already there. All you need to do is get the data.

You forgot the next step:
Add "data scientist and machine learning engineer" to resume.

True. It changes a lot about the profession 'software developer'.

@Autism420 That's no different compared to classical programming. There have always been people who are doing research and thus a wholly different job than coders.

But we're usually talking about the latter when referring to the profession.

Therefore I don't think this is insulting to people who actually do research in the field (like myself).

Da fuck are ".fit()" and ".data()"?!!! Is this CSS or Python?!!!

@JohnScott it's from sklearn in python (Also no .data() that doesn't exist). Most of the machine learning algorithms use .fit() and .predict() to do much of the work.

There's technically still a shit ton of stuff you have to do preprocessing wise (normalizing, stratifying, etc.), but for at the end, these functions are what make the magic work.

@iSwimInTheC Oops you're right, I meant to write ".predict()" instead of ".data()". But seriously machine learning seems 100x more difficult than it is on paper. And way out of my league.

Machine learning is a fascinating field with immense potential, and it's great to see discussions about how to get started in this domain. In the context of custom software and mobile app development, integrating machine learning capabilities can be a game-changer.

For those interested in venturing into machine learning, https://gowombat.team/machine-learn... offer valuable insights and services. Their expertise in combining machine learning with custom software and mobile app development can help you embark on a journey into this exciting realm.