Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
An Agile Approach to Data Science Product Development
 Introduction With the huge growth in machine learning over...
Wise Practitioner – Predictive Analytics Interview Series: Haig Nalbantian at Mercer – BIZ
 By: Eric Siegel, Founder, Predictive Analytics World for Business...
Is What You Did Ethical? Helping Students in Computational Disciplines to Think About Ethics
 In addition to this article, Dr. Priestly will also...
Wise Practitioner – Predictive Analytics Interview Series: Keith Higdon at ESIS
 By: Eric Siegel, Program Co-Chair, Predictive Analytics World for...

Original Content

Wise Practitioner – Predictive Analytics Interview Series: Sameer Chopra of Orbitz

 In anticipation of his upcoming conference keynote at Predictive Analytics World Boston, “Blackjack Analytics: A Surprising Teacher from Which All Businesses Can Learn,” we asked Sameer Chopra, GVP of Advanced Analytics, Orbitz Worldwide, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict?

Wise Practitioner – Predictive Analytics Interview Series: Jack Levis of UPS

 In anticipation of his upcoming conference keynote presentation, UPS Analytics – The Road to Optimization, at Predictive Analytics World San Francisco, we asked Jack Levis – Senior Director, Process Management at UPS, a few questions about his work...

Connecting the Experts with the Data Scientists

 “Can Machines Think?” was the cover of Time magazine a generation ago. The impetus was a face-off between world chess champion Gary Kasparov and IBM’s “Deep Blue” chess machine. The first match was won by us humans,...

Why analysts should master public speaking

 Industry leader and consultant Geert Verstraeten serves as program chair for Predictive Analytics World London. Click here for information about speaking at PAW London as well as 9 other annual PAW events. Granted, the fear of public...

Defining the Target Variable in Predictive Analytics- A Not so Easy Process

 Defining a target variable is one of the preliminary steps in building a predictive model. But is this really a simple and straightforward process. For example, I want to optimize insurance sales to existing customers on a...

Book Review of “Applied Predictive Analytics” by Dean Abbott

  Industry leader and author Dean Abbott will be presenting at Predictive Analytics World Boston (Oct 5 – 9) on “Data Preparation from the Trenches: 4 Approaches to Deriving Attributes.” Abbott will also run two post-conference full-day...

Recognizing and Avoiding Overfitting, Part 1

 In my last two posts I described why overfitting predictive models is dangerous beyond the most obvious problem, namely that accuracy on new data is lower than expected. In the next few posts, I’ll describe how to...

Webinar: Towards Solving Employee Attrition: Cost Modeling

 Presented by: Pasha Roberts, Chief Scientist, Talent Analytics, Corp. Watch Webinar. Pasha Roberts, Chief Scientist at Talent Analytics, Corp., discusses Talent Analytics’ first step when using a predictive analytics approach for solving employee attrition challenges. Severe employee...

It is a Mistake to…. Listen Only to the Data

 (Part 5 of 11 of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) Inducing models from data has the virtue of looking at the data afresh, not constrained...

The Data Audit Process (Part 1)-The Initial Step in Building Successful Predictive Analytics Solutions

 Building predictive analytics solutions is very much in-vogue for most organizations today. Historically, practitioners needed to educate businesses on the value of data mining and predictive analytics. Now, the concept and value of predictive analytics is widely...

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