I just put a bounty on Calculating Linear Discriminant Analysis Coefficients before seeing the ML discussions on Meta, so I apologize for not asking about this beforehand. I'll be sure to make a future note of what comes out of this discussion.
The question, in short, is asking about how to manually calculate the coefficients outputted by a machine learning algorithm using matrices. In addition,
R code is a substantial part of this, and it looks like the algorithm itself involves a lot of advanced linear algebra which I am not familiar with (singular value decomposition). Therefore, I don't consider this question to be in the category described in As machine learning gets more programming-oriented, should we get more programming oriented?.
Any thoughts on this?