Fonseca

Brazilian singer Danielle Fonseca Machado aka Dani Li has died at the age of 42. According to reports, the singer passed away due to complications during a liposuction surgery. The Sun reported that she underwent the operation on Friday. The liposuction was for her belly, and she had also planned a breast reduction; however, she faced severe complications, after which she was rushed to the hospital where she was declared dead. Following the demise of the singer, her husband shared that her burial would take place on…

When are they born and how do they transform?The Lifetime of a machine learning model (Image by author)How are your models changing?Many are those entities that have a lifetime, living things, inert ones, and nowadays, digital bodies. For the first ones, we know a lot about when they are born, how they grow, and when they die. For the second ones, even if they don’t have a biological lifetime, inert things emerge from something and they can also be transformed to become something else. As for the third ones, when are the…

Training and using models are two separate phases(Image by author) Building models vs. using modelsAfter finishing the training phase of our models, new stages of the whole modeling pipeline get activated. The most common one within the machine-learning community is model deployment. For those who are not familiar with the concept, this basically refers to placing the model somewhere. If you’ve read these posts about general machine-learning topics, you may remember the analogy of models with cars. When a car is built and…

We know the causes, let’s talk about the typesTwo sides of prediction performance drift (Image by author)The world of machine learning has moved and grown so fast that in less than two decades we are already at the next stage. The models are built, and now we need to know if they provide accurate predictions in the short, medium, and long term. So many methods, theoretical approaches, schools of thought, paradigms, and digital tools are in our pockets when it comes to building our models. Now then, we want to understand…