Some of you have expressed interest in accessing the statistics map I discussed in my...

In this compact course, we’ll delve into the realm of decision trees—examining their nature, functioning,...

In this mini-course we will look at Simulation Based Inference (SBI), also known as Approximate...

Neural Networks (NN) have long been seen as mysterious and complex entities that are difficult...

In this “course” I will put all the materials which are still not completed-enough to...

Generalized Linear Models (GLM’s) are a parametric regression framework that encompasses many types of regressions:...

Variational Inference (also known as Variational Bayes) is a method to find an approximation to...