Vadim Arzamasov

The universal principle of knowledge distillation, model compression, and rule extraction Vadim Arzamasov · Follow Published in Towards Data Science · 7 min read · 22 hours ago — Figure 1. This and other images were created by the author with the help of recraft.ai Machine learning (ML) model training typically follows a familiar pipeline: start with data collection, clean and prepare it, then move on to model fitting. But what if we could take

A nonlinear correlation measure for your everyday tasks Vadim Arzamasov · Follow Published in Towards Data Science · 6 min read · 2 hours ago — Image created by author with recraft.ai Traditional correlation coefficients such as Pearson ρ, Spearman, or Kendall’s τ are limited to finding linear or monotonic relationships and struggle to identify more complex association structures. The recent article on TDS [1] about a new correlation coefficient ξ that aims to overcome