Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024 The hottest thing...
Where FICO Gets Its Data for Screening Two-Thirds of All Card Transactions
 Originally published in The European Business Review, March 21,...
How to Sell a Machine Learning Project
 Originally published in Built In, February 6, 2024. Never...
The 3 Things You Need To Know About Predictive AI
 Originally published in Forbes, June 29, 2024. Some problems are...

Original Content

Using Statistics and Visualization as Complementary Validation

 I don’t often find myself thinking or saying common maxims (e.g. Better to be safe than sorry). But there is an uncommon maxim I learned from Jeffrey Luftig, who taught one of my favorite statistics courses. He had a number of colorful sayings but the one that has stuck with me in my professional life

Predictive Analytics for Insurance: A New Level of Data Scrutiny

 For more on the application of predictive analytics and Insurance, attend PAW Business in San Francisco March 31-April 2, 2015, where there is a sequence of insurance-focused presentations. The key metric for any insurance company in measuring...

The Three-Legged Stool of an Analytics Project

 Perhaps you have heard rumors going around that analytics is marching into the “trough of disillusionment”? 1 Or pundits who say that analytics may fail to provide results? 2 One reason those claims have a grain of...

Defining Measures of Success for Predictive Models

 Excerpted from Chapter 2 of Mr. Abbott’s book Applied Predictive Analytics, Wiley 2014 The determination of what is considered a good model depends on the particular interests of the organization and is specified as the business success...

Effective Framing of Predictive Analytic Projects

 For more from James Taylor, see his presentation on Decision Modeling for Predictive Analytic Projects at Predictive Analytics World for Business, March 29-April 2, 2015 in San Francisco. One of the most important steps in a predictive...

Wise Practitioner – Predictive Analytics Interview Series: Richard Boire of Boire Filler Group

 In anticipation of his upcoming conference presentation, Predicting Extreme Behavior to improve the rating structure for Travel Insurance, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Richard Boire, Founding Partner of Boire Filler...

Wise Practitioner – Predictive Analytics Interview Series: Sarah Holder of Duke Energy

 In anticipation of her upcoming conference presentation, It’s Not a Black Box! Explaining Predictive Models to the Masses, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Sarah Holder, Senior Market Research Analyst at...

Infographic – Predictive Analytics World by the Numbers

 Predictive Analytics World continues to grow by popular demand. Beginning with the launch of the first PAW conference held in San Francisco in 2009, through the 30 conferences held around the world to date, over 10,000 alumni...

Wise Practitioner – Predictive Analytics Interview Series: Mohamad Khatib of Nielsen

 In anticipation of his upcoming conference presentation, Pizza Analytics & Optimization, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Mohamad Khatib, Sr. Project Manager at Nielsen, a few questions about his work in...

A Critical Step Toward Organizational Data Maturity: Thinking in Terms of Distributions!

 For more from the Josh Hemann, see his presentation on Cheating Detection in Call of Duty at Predictive Analytics World for Business, March 29 – April 2, 2015 in San Francisco. I have done analytics work in...

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