Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of 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