Machine Learning Times
Machine Learning Times
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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

Wise Practitioner – Predictive Analytics Interview Series: Michael Berry of TripAdvisor Hotel Solutions

 In anticipation of his upcoming keynote co-presentation, Picking the Right Modeling Technique for the Problem, at Predictive Analytics World London, October 12-13, 2016, we asked Michael Berry, Analytics Director at TripAdvisor Hotel Solutions, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict?

Exploring the Toolkits of Predictive Analytics Practitioners — Part 2

 Continuing on our discussion from last month on toolkits for practitioners, you will note that I purposely do not make reference to specific brand names and companies. By googling data science software, the user can easily obtain...

The Danger of Playing It Safe

 Research shows that people tend to be overly risk averse when weighing the potential success or failure of a decision. This tendency is compounded when we consider the vast number of decisions being made across an organization....

Manufacturing Operations: Machine Learning to Separate Actionable Trends from False Alarms

 Predictive analytics is increasingly becoming the object of value within many so-called traditional industries like manufacturing. While historically data generated by and in manufacturing is mostly structured, today unstructured data is also becoming a source that cannot...

Predictive Analytics Basics: Six Introductory Terms and The Five Effects

 Here are six key definitions—and The Five Effects of Prediction—from my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Revised and Updated, 2016). Note: A complementary copy of this book will...

Wise Practitioner – Predictive Analytics Interview Series: Ken Yale at ActiveHealth Management

 In anticipation of his upcoming keynote co-presentation at Predictive Analytics World for Healthcare New York, October 23-27, 2016, we asked Ken Yale, JD, DDS, Vice President of Clinical Solutions at ActiveHealth Management, a few questions about incorporating predictive...

Wise Practitioner – Predictive Analytics Interview Series: Dr. Hevel Jean-Baptiste at GE Capital

 In anticipation of his upcoming conference presentation, Importance of Model Risk Management in Financial Institutions at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Hevel Jean-Baptiste, Global Senior Program Manager, Model Risk...

Wise Practitioner – Predictive Analytics Interview Series: Frank Fiorille at Paychex, Inc.

 In anticipation of his upcoming conference presentation, Risk Management Algorithms – Paving the Way to Value Creation at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Frank Fiorille, Sr. Director of Risk...

The Real Reason the NSA Wants Your Data: Predictive Law Enforcement

 The NSA can leverage bulk data collection with predictive analytics to target law enforcement activities. But this little-known capability both intensifies and redefines the debate over how much data governments should be collecting. About this article. This...

Wise Practitioner – Predictive Analytics Interview Series: Scott Zoldi at FICO

 In anticipation of his upcoming conference keynote presentation, Fraud Screening for 2/3rds of All Card Transactions: A Consortium and Its Data at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Scott Zoldi,...

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