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,...

artificial intelligence

Ten Mistakes to Avoid When Creating a Recommendation System

 Originally published in Medium.com, July 27, 2022.  We’ve been long working on improving the user experience in UGC products with machine learning. Here are our ten key lessons of implementing recommendation systems in business to build a really good product. 1. Define a Goal that Really Contributes to the Business Tasks The global task of

Supercharging A/B Testing at Uber

 Originally published in Uber Engineering, July 21, 2022. Introduction “Immensely laborious calculations on inferior data may increase the yield from 95 to 100 percent. A gain of 5 percent, of perhaps a small total. A competent overhauling...

Machine Learning for Snapchat Ad Ranking

 Originally published in Snapchat Engineering, July 11, 2022. Snapchat ad ranking aims to serve the right ad to the right user at the right time.  These are selected from millions of ads in our inventory at any...

Could Machine Learning Fuel a Reproducibility Crisis in Science?

 Originally published in Nature, July 26, 2022.   ‘Data leakage’ threatens the reliability of machine-learning use across disciplines, researchers warn. From biomedicine to political sciences, researchers increasingly use machine learning as a tool to make predictions on the...

Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars

    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. Four Things the Machine Learning Industry...

Artificial General Intelligence Is Not as Imminent as You Might Think

 Originally published in Scientific American, June 6, 2022.   A close look reveals that the newest systems, including DeepMind’s much-hyped Gato, are still stymied by the same old problems.   To the average person, it must seem as if...

A Refresher on Continuous Versus Discrete Input Variables

 How many times have I heard that the most critical element in predictive analytics is the data? Don’t misunderstand what I am saying. Method counts as well. But if there is a choice between better data or...

Podcast: Why Deep Learning Could Expedite the Next AI Winter

  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. Why Deep Learning Could Expedite the Next...

PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research

 In anticipation of his upcoming presentation at Deep Learning World, Las Vegas, June 19-24, 2022, Evan Wimpey, Director of Strategic Analytics at Elder Research, provided a brief video overview of his Deep Learning World presentation, Confidence Intervals...

How Wayfair and Spotify Use Machine Learning to Engage Customers

 Originally published in MIT Management, May 26, 2022. Armed with scores of data, Spotify and Wayfair use machine learning algorithms to make customers happy. Here’s how. Whether you’re combing the online aisles at Wayfair to find a...

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