The Machine Learning Lifecycle (Adapted from Microsoft’s – Data Science Lifecycle) 87% of machine learning projects fail to make it into production. Deploying ML mo...
Here I provide translations for various important terms, to help professionals from related backgrounds better understand each other. In particular, machine learning prof...
The title of this blog is accurate There are indeed some caveats / disadvantages to automated machine learning. This blog was motivated by a question in my University of ...
Gerrymandering has long been a problem in the process of choosing elected officials globally, but it is especially a problem in the United States, where political redistr...
This article was written by David Sheehan. This post describes (with GIFs and words) the most common clustering algorithms available through Scikit-learn. It’s a common...
This article was written on the blog CLOUDERA Fast Forward. Machine learning models are used for important decisions like determining who has access to bail. The aim is t...
This article was written by Damian Mingle. Google recently started promoting automated machine learning (what they call AutoML) – something that DataRobot customers hav...
Business intelligence (BI) applications have been around for quite a while, and they’ve changed the manner in which companies measure and analyse data. Business c...
“I love it when a plan comes together” – John (Hannibal) Smith, The A Team One of the biggest challenges that I continue to see are organizations struggling to cros...
I teach mainly research methods, statistics, and computer science courses at the undergraduate level. I am currently developing courses in research methods and statistics...