Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Re-examining Model Evaluation: The CRISP Approach
 The performance of prediction models can be judged using...
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...

Original Content

Wise Practitioner – Predictive Workforce Analytics Interview Series: Ben Waber of Humanyze

 In anticipation of his upcoming Predictive Analytics World for Workforce conference presentation, Using Wearables and Big Data to Reinvent Management, we interviewed Ben Waber, CEO at Humanyze.  View the Q-and-A below to see how Ben has incorporated predictive analytics into the workforce of Humanyze. Also, glimpse what’s in store for the new PAW Workforce conference. Q: How is

The Quest for Unicorns

 Will there be enough data scientists in the future? The question sounds like a subplot for a science fiction film, but it has received much attention over the past few years due to the forecast of a...

Most Swans are White: Living in a Predictive Society

 In anticipation of the forthcoming Revised and Updated, paperback edition of Eric Siegel’s Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (coming January 6, 2016—preorder today), read here its Foreword by Thomas...

Hiring? Approving Mortgages? It’s the Same Thing

 Imagine that Chris wants to buy a house and needs a mortgage. He applies online and is sent an email by an intern asking to schedule time to discuss his interest. The intern conducts the initial screening...

Personalities That Are Barriers to Model Deployment (And How to Partner With Them) Part II: The Skeptic

 So you have gathered your data and completed your exploration and cleansing. You labored countless hours transforming the data and created a strong model that can revolutionize the way your company sees its clients, makes decisions and...

5 Types of Analytics in Business: One to Go After and One to Avoid

 I have been lucky enough to work in some form of analytics for the past 15 years. In the last five especially, there has been an explosion in opportunities and applications as well as software tools. Lately,...

The Beginner’s Guide to Predictive Workforce Analytics

 Human Resources Feels Pressure to Begin Using Predictive Analytics Today’s business executives are increasingly applying pressure to their Human Resources departments to “use predictive analytics”. This pressure isn’t unique to Human Resources as these same business leaders...

Predictive Modeling Forensics: Identifying Data Problems

 Excerpted and modified from Chapters 3 and 4 of Mr. Abbott’s book Applied Predictive Analytics, Wiley 2014 The Data Understanding stage of a predictive analytics project is intended to uncover the characteristics of the data available for...

Five Wins for Retail with Predictive Analytics

 We’ve heard a lot about how big data is changing the world, and even more about the changes that are still to come. There is more data collected now than at any other point in history, but...

Faster Credit Scoring Dev With Specialized Binning Code – R Package

 Introduction One of the main concerns in a credit scoring project is the extraordinary amount of time required for its development, usually months after the data has been collected. Most of this time is concentrated on a...

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