The analysis and classification of ordinal categorical data are central in most scientific domains and ubiquitous in governments and businesses.
Examples of ordinal data are either found in questionnaires for measuring opinions or self-reported health status. A well-known example of ordinal data is the Likert Scale 
(DISLIKE = 1, DISLIKE SOMEWHAT…Continue
Added by Ludovico Pinzari on June 1, 2019 at 3:35pm — No Comments
Understanding the Role of Analytics in Insurance Industry
The insurance industry is all about assessing risk and managing the same successfully. Life insurance industry operates intrinsically by balancing risk assessment and risk management. Compiled with a large volume of data the insurance industry operates with, arriving at meaningful…Continue
Added by Eddie Soong on July 15, 2015 at 5:53am — No Comments
As a data science professional how would you respond to the question, “How familiar are you with PMML?”
Your choices are:
- “I have no idea what PMML is”
- “I have heard and read about PMML”
- “I have played around with PMML”
- “I have used PMML in my projects”
I have seen many responses to the question and the most popular one was “I have no idea what PMML is”.
Is this surprising? I guess, if we look at the…Continue
Added by Eddie Soong on July 14, 2015 at 11:01am — No Comments