by Peter Bruce, President & Founder, Statistics.com Nearly everyone is now familiar with the IHME Covid-19 forecasts (also called the “Murray” model after the lea...
by Mike Thurber, Principal Scientist, Elder Research The COVID-19 pandemic has created a need for clear and actionable analytics like never before. The world can’t wait...
Neuromancer Blues” is a series of posts where I would like the reader to find guidance about overall data science topics such as data wrangling, database connectivi...
Randomised algorithms are built on statistical features played by random numbers. Quicksort is a good example to illustrate this algorithm. For instance, in a class of ...
The COVID-19 crisis has hammered home the importance for organizations to become more digital. And I suspect that most organizations are thinking that just means being ...
By Frank Wessels Introduction While MD5 hashing is no longer a good choice when considering a hash function, it is still being used in a great variety of applications. As...
For the first time, I taught an AI for Cyber Security course at the University of Oxford. I referred to this paper from Johns Hopkins which covered Deep Neural networks f...
There are a few key differences between the Binomial, Poisson and Hypergeometric Distributions. These distributions are used in data science anywhere there are dichotom...
The eLearning industry is already surging on today’s words and finding ways to enhance the learning experience through leading technologies that are loved by many. Rece...
The term “digital transformation” has been around now for a couple of years. Like so many such terms, it was something of a neologism, a phrase much like Big ...