Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Original Content

The Power of Predictive Analytics for Retail Replenishment

 Replenishment is an essential process in the retail supply chain. It is a key link in the chain that is interconnected with other functions such as allocation, promotions, planning, assortment, vendor compliance, and more. Furthermore, it is a function that can be tweaked, and optimized to see immediate cuts in inventory costs, and an increase

Voice of the HR Profession: “Charts and Graphs are Hard to Follow”

 In early August, our Director of Marketing reached out to the Editor of a well-known online magazine.  They are described as one of the leading voices in the HR profession that serves human resource leaders and professionals. ...

Wise Practitioner – Predictive Analytics Interview Series: John Cromwell, M.D., University of Iowa Hospitals & Clinics

 In anticipation of his upcoming keynote conference presentation at Predictive Analytics World Healthcare in Boston, “Real-Time Modeling of Surgical Site Infections,” we asked John Cromwell, M.D., Associate Professor at University of Iowa Hospitals & Clinics, a few...

Creating the All-important Analytical File-The Key Step in Building Successful Predictive Analytics Solutions

 In the data audit process, canned routines are programmed that can provide analytics practitioners with their first glimpse regarding data quality. Three canned programming routines look at the following: A random sample of 100 records Data Diagnostics...

Wise Practitioner – Predictive Analytics Interview Series: Linda Miner, Ph.D., Southern Nazerene University

 In anticipation of her upcoming conference presentation at Predictive Analytics World Healthcare in Boston, “Developing a Mortality Prediction Model for Disseminated Intravascular Coagulation (DIC),” we asked Linda Miner, Ph.D., Professor at Southern Nazerene University, a few questions...

It is a Mistake to…. Accept Leaks from the Future

 (Part 6 (of 11) of the Top 10 Data Mining Mistakes, drawn from the Handbook of Statistical Analysis and Data Mining Applications) -John Elder (elder datamininglab com) I often evaluate promising investment systems, for possible...

Wise Practitioner – Predictive Analytics Interview Series: Marty Kohn, M.D. of Jointly Health

 In anticipation of his upcoming conference keynote at Predictive Analytics World Healthcare in Boston, “Big Data and Clinical Decision Support,” we asked Marty Kohn, M.D., Chief Medical Scientist at Jointly Health, a few questions about his work...

What’s the Government’s Role in Big Data Surveillance?

 What if predictive analytics could help prevent acts of terrorism? With so much at stake, should the government responsibly monitor data surveillance? If data privacy surveillance is the route to take, how should the government implement this?...

Wise Practitioner – Predictive Analytics Interview Series: John Foreman of MailChimp

  In anticipation of his upcoming conference keynote at Predictive Analytics World Boston, “Problems, then Techniques, then Toys. Keeping Your Predictive Analytics Right-side Up,” we asked John Foreman, Chief Scientist at MailChimp,  a few questions about his...

Is Predictive Analytics Insidious? National Radio Interview

 Interviewing Eric Siegel on the radio, a Hollywood big wig introduced predictive analytics as insidious, ominous, very manipulative, Machiavellian, and Orwellian; “Big Brother is watching you.” Siegel countered with how prediction is good for the world. 15...

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