Well first off, you need to know what methods you’re using.

If you’re trying to build your own library, just port SKlearn

Why would I want to build my own library? I just want to work with machine learning in kotlin and I have no idea how...

Okay then you need to find a machine learning library? So Google ML library JVM…

Ok I may not have been clear in my question, but I edited now. What I was actually looking for were self-teach resources for machine learning with kotlin. 🙂

ussually ML library are implemented in popular languages like python, R, spark.

you could build a web api in R o Python, and just fetch the results from kotlin.

thats a good aproach, specially because models are constatly retrained and adjusted.

I think it kind of depends on what you want to do in the end. Machine learning can be complex and learning how to implement state of the art methods and understanding how they work can take years. If you want to do rather simple stuff like linear regression, you can probably just use a java linear algebra library and implement it yourself. But more complex stuff like deep learning is done using specialised libraries like Tensor flow, pytorch and so on. And I don't think you want to reimplement them yourself in java. Now you could either use pytorch in c++, wrap it and call from java or write the ml stuff in python which has the best framework support and then pass the data from java to your python program, calculate in python and send results back to java. There also is a deep java library but I have no experience with it and can't tell you how well it works. But yeah, ml is mostly done in python or c++ these days.

Well all the libraries you’re looking for are going to have documentation. If you’re looking to learn ML concepts though, there’s plenty of very good YouTube videos from StatQuest