Random Forest programming description?

Question

Machine learning

Dear colleagues, please help.
I'm a stupid dinosaur, I don't program in python, R and other matlabs. I am a programmer and never a mathematician, the matan was in his first year, it was a long time ago and not true. I really need to code random forest in one specific language for the corresponding platform. Usually I don’t ask such lamer questions, but damn, honestly, I’m probably already reading the 20th article and don’t enter at all. Everywhere solid predicates, and all that, a bunch of variables with hats and strokes (as if there were not enough letters in the alphabet), the brain boils. Or no description of the case at all, only screenshots from some panda or rattle.
I beg you, share a link to a normal programming description in human language. So that you can read and code on the fly without hemorrhoids on these and the like.
A thousand thanks in advance.

Answer 1

Read "Programming the collective mind", where the main algorithms are sorted out on the fingers.

Answer 2

Random Forest is boosted trees (an ensemble of trees). To understand how it works, you must first understand how one tree works and what problems appear, that is, why the ensemble was needed. The work of trees is well described in the book Applied Predictive Modeling (Max Kuhn), it has many references to sources. Random Forest implementation code can be found here https://github.com/imbs-hl/ranger