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

MLW Preview Video: Aric LaBarr, Institute for Advanced Analytics

 In anticipation of his upcoming presentation at Predictive Analytics World Business, part of Machine Learning Week Las Vegas, June 18-22, 2023, Aric LaBarr, Associate Professor of Analytics at Institute for Advanced Analytics at NC State University, provided a brief video overview of his PAW Business presentation, Detecting Changes Over Time with Bayesian Change Point Analysis.​ 

ML in the Spotlight: Trailblazers with Walter Isaacson Covers Predictive Analytics

 Predictive analytics got another public spotlight and Machine Learning Times Executive Editor Eric Siegel made the cut. Listen to his appearances on Walter Isaacson’s (“Steve Jobs” and “The Innovators”) podcast. Podcast: Trailblazers with Walter Isaacson. The program has over...

ChapGPT Doesn’t “Know” But It Can Tell

  Polanyi’s paradox, named in honor of the philosopher and polymath Michael Polanyi, states, “we know more than we can tell.” He means that most of our knowledge is tacit and cannot be easily formalized with...

Take the 2023 Rexer Analytics Data Science Survey Now

  Rexer Analytics and Machine Learning Week launch 2023 Data Science Survey ‍Rexer Analytics has partnered with Eric Siegel and his Machine Learning Week organization to launch the 2023 Data Science Survey. Analytic professionals of all types are invited...

Three Ethical Issues Related to Credit Scores

 A reasonable credit score and its accompanying benefits provide an avenue for success today, far more than it has in the past.  Of course, looking for a home, or a new car, or that premium credit card,...

AI and ML in Health Care: A Brief Review

 Of the many disciplines that are active users of machine learning and artificial intelligence, perhaps the most significant contributions and most meaningful impacts can be made in the health care industry. In addition to the potential improvement...

Visualizing Decision Trees with Pybaobabdt

 Originally published in Towards Data Science, Dec 14, 2021. An open-source package for decision tree visualization and model interpretation.   Data visualization is the language of decision-making. Good charts effectively convey information. Great charts enable, inform, and...

Correspondence Analysis: From Raw Data to Visualizing Relationships

 Isn’t it satisfying to find a tool that makes our analytic lives easier? Have you ever wondered whether it’s possible to display the results of an analysis visually so that insight can be gleaned quickly? Have you...

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...

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...

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