Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...

Original Content

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 to participate. Participate now! Note:  At the end of the survey, you can optionally provide your email address

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...

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...

Podcast: P-Hacking—How to Know Your Predictive Discovery is Conclusive

  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. P-Hacking: How to Know Your Predictive Discovery...

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