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The Persuasion Paradox – How Computers Optimize their Influence on You
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.
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Five Ways Your Safety Depends on Machine Learning
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.
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AI is a Big Fat Lie
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.”
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Why Ice Cream Is Linked to Shark Attacks – Correlation/Causation Smackdown
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."
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Why Vegetarians Miss Fewer Flights – Five Bizarre Insights from Data
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.
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Dr. Data Show Video: Five Reasons Computers Predict When You’ll Die
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?
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Dr. Data Show Video: What the Hell Does “Data Science” Really Mean?
The latest episode of the Dr. Data Show answers the question, "What the hell is data science?"
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Dr. Data Show Video: How Can You Trust AI?
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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Dr. Data Show Video: Why Machine Learning Is the Coolest Science
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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What If the Data Tells You to Be Racist? When Algorithms Explicitly Penalize
Without the right precautions, machine learning — the technology that drives risk-assessment in law enforcement, as well as hiring and loan decisions — explicitly penalizes underprivileged groups.
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Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who makes machine learning understandable and captivating. He is the founder of the Predictive Analytics World and the Deep Learning World conference series, which have served more than 17,000 attendees since 2009, the instructor of the acclaimed course Machine Learning Leadership and Practice – End-to-End Mastery, a popular speaker who's been commissioned for 100+ keynote addresses, and executive editor of The Machine Learning Times. He authored the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been used in courses at more than 35 universities, and he won teaching awards when he was a professor at Columbia University, where he sang educational songs to his students. Eric also publishes op-eds on analytics and social justice. Follow him at @predictanalytic.
