| blog | write.as/essi |
| images | pixelfed.social/essicolo |
| calckey | blahaj.zone/essi |
| music | soundcloud.com/user-512016957-418252282 |
| blog | write.as/essi |
| images | pixelfed.social/essicolo |
| calckey | blahaj.zone/essi |
| music | soundcloud.com/user-512016957-418252282 |
Before getting myself in data science, something I remember being deeply impressed by was principal component analysis (PCA). The graphical representation of variables and arrows seemed to be pure sorcery. Then I learned the R language as well as PCA basics, and sorcery became poetic mathematics.