Topics: Coronavirus | AI | Data Science | Deep Learning | Machine Learning | Python | R | Statistics

About Eric Siegel

Eric Siegel, Ph.D., founder of the Predictive Analytics World (15k attendees since 2009) and Deep Learning World conference series, and executive editor of The Predictive Analytics Times, makes the how and why of predictive analytics (aka machine learning) understandable and captivating. In addition to being the author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Eric is a former Columbia University professor who used to sing to his students, the host of The Dr. Data Show, and a renowned speaker and educator who's been commissioned for more than 100 keynote addresses.

Eric Siegel Posts (19)

  • Predicting the President: Two Ways Election Forecasts Are Misunderstood - 27 Mar 2020
    With election cycles always seeming to be in season, predictions on outcomes remain intriguing content for the voting citizens. Misinterpretation of election forecasts also runs rampant, and can impact perceptions of candidates and those who post these predictions. A better fundamental understanding of probability can help improve our collective notion of futurism, and how we monitor elections.
  • Accuracy Fallacy: The Media’s Coverage of AI Is Bogus - 06 Dec 2019
    Such as the gross exaggerations Stanford researchers broadcasted about their infamous "AI gaydar" project, there exists a prevalent "accuracy fallacy" in relation to AI from the media. Find out more about how the press constantly misleads the public into believing that machine learning can reliably predict psychosis, heart attacks, sexuality, and much more.
  • The Persuasion Paradox – How Computers Optimize their Influence on You - 16 Feb 2019
    How do computers optimize mass persuasion – for marketing, presidential campaigns, and even healthcare? And why is there actually no data that directly records influence, considering it's so important? In this season finale episode, Eric Siegel introduces machine learning methods designed to persuade.
  • Five Ways Your Safety Depends on Machine Learning - 02 Feb 2019
    Eric Siegel tells you about five ways your safety depends on machine learning, which actively protects you from all sorts of dangers, including fires, explosions, collapses, crashes, workplace accidents, restaurant E. coli, and crime.
  • AI is a Big Fat Lie - 26 Jan 2019
    Is AI legit? This treatise by Eric Siegel, which ridicules the widespread myth of artificial intelligence, is enlightening and actually pretty funny. It's time for the term AI to be “terminated.”
  • Why Ice Cream Is Linked to Shark Attacks – Correlation/Causation Smackdown - 19 Jan 2019
    Why are soda and ice cream each linked to violence? This article delivers the final word on what people mean by "correlation does not imply causation."
  • Why Vegetarians Miss Fewer Flights – Five Bizarre Insights from Data - 12 Jan 2019
    A frenzy of number-crunching is churning out a heap of insights that are colorful, sometimes surprising, and often valuable. We explain how this works, and investigate five bizarre discoveries found in data.
  • Dr. Data Show Video: Five Reasons Computers Predict When You’ll Die - 08 Dec 2018
    Death prediction is a very morbid topic indeed — but a very practical one. So how does it work? What technological sorcery is at play? And how accurate is it? And, gee whiz, what's it used for?
  • Dr. Data Show Video: What the Hell Does “Data Science” Really Mean? - 10 Nov 2018
    The latest episode of the Dr. Data Show answers the question, "What the hell is data science?"
  • Dr. Data Show Video: How Can You Trust AI? - 20 Oct 2018
    This new web series breaks the mold for data science infotainment, captivating the planet with short webisodes that cover the very best of machine learning and predictive analytics.

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