I believe that machine learning (ML) in Julia has developed sufficiently to warrant its own dedicated space, especially with the evolution of libraries like Flux, MLJ, and JuliaML, which have progressed beyond traditional statistical workflows. While many ML methods draw from statistics, their goals differ focusing on generalization, scalability, and optimization, among others. This divergence can sometimes lead to confusion in discussions. However, maintaining some overlap in terminology and collaborative projects could benefit the community as a whole.
3 Likes
Welcome Anjali. This topic is nearly a decade old, dating back to when we were trying to figure out the discussion categories. The world — and this forum — have both changed significantly since then. We now have separate Specific Domains > Machine Learning, Specific Domains > Modelling & Simulations, Specific Domains > Data, and Specific Domains > Statistics categories.
6 Likes