Value of adopting Data Science Skills Data Science is responsible to provide meaning to the large amounts of complex data called big data. It involves different fields of...
We have been in existence for over 10 years now, with content in many different places, lists, categories, and databases. This is an attempt to put everything together in...
A non-technical look at A/B testing, based on Dan Siroker & Pete Koomen’s book, A / B Testing, The Most Powerful Way to Turn Clicks Into Customers. Perhaps th...
Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts — but must push further than dr...
I was invited at the recent Microsoft’s Azure Data and AI Tech Immersion event (March 2019) and we played a bit with various tools, including Azure Data Studio and Azu...
This is another interesting problem, off-the-beaten-path. It ends up with a formula to compute the integral of a function, based on its derivatives solely. For simplici...
The following articles were hand-picked, and curated by one of our interns. They cover dozens of topics of interest to data scientists. Precision vs significance / accu...
Interesting picture comparing linear, logistic and Poisson regression, found here. For more about regression, read our other articles on this subject, here. For other ML ...
Below is an extract of a 10-page cheat sheet about probability, compiled by William Chen (http://wzchen.com) and Joe Blitzstein, with contributions from Sebastian Chiu, Y...
Here is one of the most viral videos about data science posted in the last few months, with over 500,000 views. I could not locate the original copy; I found it in a re-t...