Applying Machine Learning and Deep Learning to solve the Knowledge Tracing problem in the context of Programming classrooms. Continue reading Case study: Machine Learning and Deep Learning for Knowledge Tracing in Programming Education
We tackle the problem of ensuring fairness in machine learning, from using the traditional statistical parity to exploiting a causal network. Continue reading On ensuring fairness: Statistical parity vs Causal graphs
A summary of popular methods to analyze the dependency between variables. Continue reading A survey of correlation analysis methods
I have seen enough threads saying that Correlation does NOT imply Causality. Yes, that is true, but how about the other way around? Continue reading Does Causality imply Correlation?
This blog discuss QQ-plot, PP-plot, Probability plot, the relationship and the confusion amongst these three. Continue reading QQ-plot versus PP-plot versus Probability plot
To better understand the definition of collinearity, let’s start with an example… Continue reading What is Multicollinearity (or Collinearlity) ?