Summary: 99% of our application of NLP has to do with chatbots or translation. This is a very interesting story about expanding the bounds of NLP and feature creation...
Welcome to Data Science Central’s three-part Podcast Series sponsored by SAS, entitled, “Addressing Key Challenges to Applying AI in Practice.” In this ...
As artificial intelligence progresses and technology becomes more sophisticated, we expect existing concepts to embrace this change — or change themselves. Simi...
Introduction Artificial intelligence uses data science and algorithms to automate, optimize and find value hidden from the human eye. By one estimate, artificial intellig...
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...
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...
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...
The Data Scientist Need for Hosted Dashboards As data people, we very typically spend a great deal of time summarizing our findings to stakeholders in a clear, concise an...