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...

ML

Effective Machine Learning Needs Leadership — Not AI Hype

 Originally published in BigThink, Feb 12, 2024.  Excerpted from The AI Playbook: Mastering the Rare Art of Machine Learning Deployment by Eric Siegel (February 6, 2024), published by The MIT Press. The ML (Machine Learning) industry has bitten forbidden fruit: It has chosen to promote itself as AI, an ill-defined umbrella term that includes ML within its

A University Curriculum Supplement to Teach a Business Framework for ML Deployment

    In 2023, as a visiting analytics professor at UVA Darden School of Business, I developed and “field tested” a curriculum supplement designed to augment introductory data science courses so that they cover the business-side execution...

BizML: Bridging the Gap Between Data Science and Business

  Eric Siegel, author of The AI Playbook, was interviewed by Pragmatic Data about a business paradigm to get machine learning deployed, bizML.  Click here to listen to the podcast episode.  “There’s a gap between the technical...

Building Airbnb Categories with ML and Human-in-the-Loop

 Originally published in The Airbnb Tech Blog, Nov 21, 2022.    25 Years of Online Travel Search Online travel search hasn’t changed much in the last 25 years. The traveler enters her destination, dates, and the number...