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

Liftoff: The Basics of Predictive Model Deployment

  This article is based on the transcript of one of 142 videos in Eric Siegel’s online course, Machine Learning Leadership and Practice – End-to-End Mastery. Developing a good predictive model with machine learning isn’t the end of the story — you also need to use it. Predictions don’t help unless you do something about

Wise Practitioner – Predictive Analytics Interview Series: Markus Larsson at Palo Alto Research Center (PARC)

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Wise Practitioner – Predictive Analytics Interview Series: Alexander Wu at Nauto

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Wise Practitioner – Predictive Analytics Interview Series: Daniel Rohr at Tracks GmbH

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Wise Practitioner – Predictive Analytics Interview Series: Gopal Erinjippurath at Sust Global

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Wise Practitioner – Predictive Analytics Interview Series: Edo van Uitert at ABN Amro

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Wise Practitioner – Predictive Analytics Interview Series: James Taylor at Decision Management Solutions

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Hot Video: More Accuracy Fallacies – Predicting Criminality and Psychosis

 Check out this topical video from Predictive Analytics World founder Eric Siegel: Can AI “tell” if you’re a criminal? Or whether you’ll develop psychosis? These are perfect examples of the accuracy fallacy, which misleads the public into...

Wise Practitioner – Predictive Analytics Interview Series: Haig Nalbantian at Mercer

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Wise Practitioner – Predictive Analytics Interview Series: Richard Boire at Boire Analytics

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