Preamble Catalan Castellers are collaborating (Wikipedia) Availability of distributed code tracking tools and associated collaborative tools make life much easier in building collaborative scientific tools and products. This is now especially much more important in data science as it is applied in many different industries as a de-facto standard. Essentially ...

PreambleCatalan Castellers are collaborating (Wikipedia)Availability of distributed code tracking tools and associated collaborative tools make life much easier in building collaborative scientific tools and products. This is now especially much more i...

Preamble There is a lot of confusion among practitioners regarding the concept of overfitting. It seems like, a kind of an urban legend or a meme, a folklore is circulating in data science or allied fields with the following statement:Applying cross-validation prevents overfitting and a good out-of-sample performance, low ...

US Patent (Wikipedia) Statistics is so important field in our daily lives nowadays, the emerging field of 50 years old data science that is applied to almost every human activity now, or post-statistics, a kind of post-rock,  fusing operations research, data mining, software and performance engineering and of course multitude fields ...

In many data science applications and in academic research, techniques involving Bayesian Inference is now used commonly. One of the basic operation in Bayesian Inference techniques is drawing instances from given statistical distribution. This of course well known pseudo-random number sampling. Most commonly used methods first generates uniform random number ...

KL divergence (Kullback-Leibler57) or KL distance is non-symmetric measure of difference between two probability distributions. It is related to mutual information and can be used to measure the association between two random variables.Figure: Distance between two distributions. (Wikipedia)In this short tutorial, I show how to compute KL divergence ...

One of the misconceptions in our understanding of statistics, or a counter-intuitive guess, fallacy, appears in the assumption of the existence of the law of averages. Imagine we toss a fair coin many times, most people would think that the number of heads and tails would be balanced over the ...