Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...

Modelling

The Key to Modelling Success-The Variable Selection Process (Part 2)

 Last month, I discussed the importance of variable selection as a key component of the modelling process. We examined three techniques: factor analysis, correlation analysis, and clustering. This month, we will explore CHAID/Decision Tree, Exploratory Data Analysis(EDA), and Stepwise Regression as other techniques in selecting the appropriate variables for a given model. EDA presents a