Author: Igor Alcantara When I ask people what kind of knowledge you associate me with, I always get different responses. Those who do not know me well enough might say is Qlik or Data Science , Machine Learning , or maybe AI in general. The ones who know me better could mention Science or Podcast , maybe even Star Wars . However, the ones who really know me would definitely say: The Beatles . Yes, Mark Costa , I will find a way to reference the Beatles to this. The Beatles r

Author: Igor Alcantara We take a lot of things for granted. For those new to Machine Learning who are lucky to start with tools like Qlik Predict , there are a lot of things happening behind the scenes that veterans (aka classical practitioners) like me had to program in R and Python in the past, just like the old Aztecs did (well, not really, but I like the joke). Don't get me wrong - this is amazing. We can now focus more on the analytical and scientific parts of the work r

Author: Igor Alcantara On October 15th, 2024, a user in Qlik Community (Martin) asked a very interesting question: what is the exact mathematical formula for Skewness and Kurtosis in Qlik? Check the original post here . Since that information is not available in Qlik Documentation , I decided to do some reverse engineering. My approach was to use a technology where I have the mathematical documentation about it, test it there, and compare it to the numbers I got in Qlik. Wha