Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
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,...

Machine Learning

Deepfake Democracy: South Korean Candidate Goes Virtual for Votes

 Originally published in France 24, Feb 14, 2022.  In a crowded campaign office in Seoul, young, trendy staffers are using deepfake technology to try to achieve the near-impossible: make a middle-aged, establishment South Korean presidential candidate cool. Armed with hours of specially-recorded footage of opposition People Power Party candidate Yoon Suk-yeol, the team has created

Deep Learning on Electronic Medical Records is Doomed to Fail

 Originally published in Moderndescartes.com, March 22, 2022. A few years ago, I worked on a project to investigate the potential of machine learning to transform healthcare through modeling electronic medical records. I walked away deeply disillusioned with...

Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance

 Originally published in Google AI Blog, April 4, 2022. In recent years, large neural networks trained for language understanding and generation have achieved impressive results across a wide range of tasks. GPT-3 first showed that large language models (LLMs)...

House-Flipping Algorithms Are Coming To Your Neighborhood

 Originally published in MIT Technology Review, April 13, 2022. For years, Michael Maxson spent more nights in hotels than his own bed, working on speaker systems for the titans of heavy rock on global tours. When Maxson...

Podcast: Real-Time Machine Learning: Why It’s Vital and How to Do It

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Real-Time Machine Learning: Why It’s Vital and...

PAW Preview Video: Aric LaBarr, Institute for Advanced Analytics at NC State University

 In anticipation of his upcoming presentation at Predictive Analytics World Business, Las Vegas, June 19-24, 2022, Aric LaBarr, Associate Professor of Analytics, Institute for Advanced Analytics at NC State University, provided a brief video overview of his...

PAW Preview Video: Andre Ferreira at TransitionZero

 In anticipation of his upcoming presentation at Predictive Analytics World Climate, presented virtually June 1-2, 2022, Andre Ferreira, Data Scientist at TransitionZero provided a brief video overview of his PAW Climate presentation.  Catch a glimpse of his...

Podcast: Five Reasons to Go to Machine Learning Week, June 19-24, 2022 in Vegas

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Podcast episode description:  In this special episode,...

Podcast: The Accuracy Fallacy and the Media’s Bogus Coverage of AI

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. The Accuracy Fallacy and the Media’s...

An Interview with Bill Franks on Creating and Delivering an Effective Data-Driven Presentation

 With his newest book release, Winning The Room: Creating and Delivering an Effective Data-Driven Presentation, we asked Bill Franks a few questions about what led to his writing the book and what the book is about. Bill...

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