David Refaeli
Markov Chain Monte Carlo (MCMC)
Markov Chain Monte Carlo is one of the most powerful ideas in modern statistics and machine learning. It lets us […]
Free
Latent Dirichlet Allocation (LDA)
LDA is mostly known as a topic-modeling tool in information retrieval – assigning documents to latent themes. But its reach […]
Free
Survival Analysis
Survival analysis is the statistical framework for modeling time-to-event data – where the outcome is not just whether something happens, […]
Free
The Map of Statistics
FeaturedSome of you have expressed interest in accessing the statistics map I discussed in my YouTube video. I’m pleased to […]
Free
Decision Trees
FeaturedIn this compact course, we’ll delve into the realm of decision trees—examining their nature, functioning, and the underlying theory. Additionally, […]
Free
Simulation Based Inference (SBI)
FeaturedIn this mini-course we will look at Simulation Based Inference (SBI), also known as Approximate Bayesian Computation (ABC) and Likelihood […]
Free
Neural Networks with Python
FeaturedNeural Networks (NN) have long been seen as mysterious and complex entities that are difficult to understand – like “black […]
Free
Other Materials
In this “course” I will put all the materials which are still not completed-enough to be a stand-alone course.
Free
Generalized Linear Models with R
FeaturedGeneralized Linear Models (GLM’s) are a parametric regression framework that encompasses many types of regressions: Linear Regression, Logistic Regression, Poisson […]
Free
Variational Inference with R
FeaturedVariational Inference (also known as Variational Bayes) is a method to find an approximation to a posterior distribution, by casting […]
Free