Statistics

Introduction Parameter estimation has been for a long time one of the crucial necessary topics in statistics. While frequentist approaches, akin to Maximum Likelihood Estimations, was once the gold standard, the advance of computation...

truth isn't perfect. From scientific measurements to human annotations used to coach deep learning models, ground truth all the time has some amount of errors. ImageNet, arguably essentially the most well-curated image dataset...

all been in that moment, right? Looking at a chart as if it’s some ancient script, wondering how we’re speculated to make sense of all of it. That’s exactly how I felt once...

That is the (and certain last) a part of a Linear Programming series I’ve been writing. With the core concepts covered by the prior articles, this text focuses on goal programming which is...

While some games, like rock-paper-scissors, only work if all payers choose their actions concurrently, other games, like chess or Monopoly, expect the players to take turns one after one other. In Game Theory, the...

In Game Theory, the players typically need to make assumptions in regards to the other players’ actions. What is going to the opposite player do? Will he use rock, paper or scissors? You never...

Despite the AI hype, many tech corporations still rely heavily on machine learning to power critical applications, from personalized recommendations to fraud detection.  I’ve seen firsthand how undetected drifts may end up in significant costs...

Introduction In case you’ve ever analyzed data using built-in t-test functions, comparable to those in R or SciPy, here’s a matter for you: have you ever ever adjusted the default setting for the choice hypothesis?...