Can Gerrymandering Be Ended via Machine Learning?
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...
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Clustering with Scikit with GIFs
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...
FairML: Auditing Black-Box Predictive Models
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...
Google is Rethinking its Business – What About You?
This article was written by Damian Mingle. Google recently started promoting automated machine learning (what they call AutoML) – something that DataRobot customers hav...
5 tasks You Can Automate in Business Intelligence (BI) and Analytics
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...
Crossing the Analytics Chasm with Nanoeconomics
“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...
Developing Applied Statistics Courses
I teach mainly research methods, statistics, and computer science courses at the undergraduate level. I am currently developing courses in research methods and statistics...
Deep visualizations to Help Solve Riemann's Conjecture
This is the second part of my article Spectacular Visualization: The Eye of the Riemann Zeta Function, focusing on the most infamous unsolved mathematical conjecture, one...
Spectacular Visualization: The Eye of the Riemann Zeta Function
We discuss here one of the most famous unsolved mathematical conjectures of all times, one among seven that has a $1 million award attached to it, see here. It is known a...
Image-to-Image Translation with Conditional Adversarial Networks
This article was written by Berkeley AI Research (BAIR) Laboratory. Abstract We investigate conditional adversarial networks as a general-purpose solution to image-to-i...