Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Interview: The Institute of Business Forecasting & Planning Talks to Dr. Eric Siegel
  Dr. Eric Siegel cuts through the buzzwords surrounding...
Investment Modeling Grounded In Data Science
 For more from Dr. Elder, join Predictive Analytics World...
Some Thoughts On Being a Data Science Entrepreneur in a Disruptive Economy
 The movie “Being There” may seem like an odd...
Asking the Right Analytics Questions and Whether Tiger Woods is better than Jack Nicklaus
  One of the most fundamental contributions we can...

Original Content

Wise Practitioner – Predictive Analytics Interview Series: David Schey of Digitas

 In anticipation of his upcoming conference presentation, Uplift Modeling Versus Traditional Response Modeling – Which One is Right for You?, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked David Schey, Senior Director, Analytic Consulting Group, Digitas, a few questions about his work in predictive analytics. Q:  In your work with predictive

It is a Mistake to…. Extrapolate

 (Part 8 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) Modeling “connects the dots” between known cases to build up a plausible estimate of what...

Wise Practitioner – Workforce Predictive Analytics Interview Series: Carl Schleyer of 3D Results

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Using Predictive Analytics to Create a Leadership Index, Greta Roberts interviewed Carl Schleyer, People Strategist & Senior Principal Consultant Workforce Analytics and Planning at 3D Results. View the Q-and-A below...

The Trouble with Numbers

 Previous discussions in other publications have often revolved around the notion of the “Trouble with Data”. But the output of data is often numbers in a report or table. The notion of the “trouble with data” can...

Wise Practitioner – Predictive Analytics Interview Series: Josh Hemann of Activision

 In anticipation of his upcoming conference presentation, Cheating Detection in Call of Duty, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Josh Hemann, Director – Analytic Services at Activision, a few questions about his...

Practical Predictive Modeling: Quick Variable Selection

 This post is largely excerpted from Dean Abbott’s book Applied Predictive Analytics (Wiley, 2014) Many predictive modeling projects include hundreds of candidate input variables as a part of the analysis, including original variables and new features created...

It is a Mistake to…. Discount Pesky Cases

 (Part 7 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) Outliers and leverage points can greatly affect summary results and cloud general trends. Yet, one...

Wise Practitioner – Workforce Predictive Analytics Interview Series: Scott Gillespie, Managing Partner of tClara

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Using Predictive Analytics to Predict and Manage “Road Warrior” Burnout (Frequent Travelers), we interviewed Scott Gillespie, Managing Partner of tClara. View the Q-and-A below to...

Want to Improve Your Prototype-to-Production Analytics Process? Embrace Thinking Inside the Box

 Anyone in the business of analytics knows that the work is often highly iterative, exploratory and ill-defined. In my experience, as hard as it is to fit models that let us understand complex relationships and make predictions,...

Using Decision Trees in Variable Creation: Minimizing Information Loss-Part 1

 Numerous articles have been written about the use of decision trees to create predictive models. The literature has been rich in detail about the varying techniques and methodologies used to create decision trees. Different approaches in terms...

Page 43 of 52 1 38 39 40 41 42 43 44 45 46 47 48 52

Pin It on Pinterest