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Lucky Correlations One of the challenges we face while designing machine learning solutions is picking the right prediction features. Deciding which...

Today's post is about how to recommend things. Concretely, we are going to perform a basic implementation of an item-to-item recommender by using the...

Boostraping Bootstrapping is a resampling technique with replacement; that is, we can choose on every sample a subset of elements that might be...

To understand what a p-value is, I looked into some simple scenarios to explain this without having to get into probability density functions and...

Covariance Covariance is a measure that help us understand if two independent variables vary together (also called joint variability). If the...

What is it? The Poisson distribution (Haight, 1967) is a discrete probability distribution that expresses the probability of a given number of...