Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...

Original Content

Wise Practitioner – Predictive Analytics Interview Series: Benjamin Arias-Gálvez at Foresta.IO

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Hot Video: The Accuracy Fallacy – Bogus Machine Learning Results

 Check out this topical video from Predictive Analytics World founder Eric Siegel: Can AI “tell” if you’re gay? When machine learning practitioners claim their model achieves “high accuracy,” it’s often bogus. This video reveals the undeniable yet...

Wise Practitioner – Predictive Analytics Interview Series: Arjun Panesar at Diabetes Digital Media

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Combatting Fraud: AI and CB (Chatbots) to the Rescue

 Have you ever looked at your credit card statement, and wondered what a particular charge was all about? “Hey, I didn’t buy that?”, is a common reaction. Or, how about that text message alerting you to some...

Machine Learning’s Missing Link: Business Leadership

  Machine learning. Your team needs it, your boss demands it, and your career loves it. After all, LinkedIn places it as one of the top few “Skills Companies Need Most” and as the very top emerging...

Explainable Machine Learning, Model Transparency, and the Right to Explanation

 Check out this topical video from Predictive Analytics World founder Eric Siegel: A computer can keep you in jail, or deny you a job, a loan, insurance coverage, or housing – and yet you cannot face your...

Guidebook to the Future of Data Science: How to Navigate the Increasingly Symbiotic Dynamic Between Executives and Universities

 Book Review of Closing the Analytics Talent Gap: An Executive’s Guide to Working with Universitiesby Dr. Jennifer Priestley and Dr. Robert McGrath (CRC Press 2021, part of the Data Analytics Applications series, edited by Jay Liebowitz). We...

Guilty or Not Guilty: Weight of Evidence

 You have been invited to serve as a juror in a criminal related case. After hearing testimony, the presiding judge offers a summary of the proceeding. “Evaluate the evidence,” he declares. Whether it was an eyewitness account,...

How Machine Learning Works for Social Good

  Originally published in KDnuggets, Nov 2020. This article is based on a transcript from Eric Siegel’s Machine Learning for Everyone (on Coursera). View the video version of this specific article Just as businesses tap the value...

Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems

 The complexity of the ethical issues facing professionals who work in machine learning, data science, analytics, and related professions have all the hallmarks of a “wicked problem”.  Rittel and Weber, the researchers responsible for coining the term...

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