Machine Learning Times
Machine Learning Times
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems
 The complexity of the ethical issues facing professionals who...
Climate Tech Needs Machine Learning, Says PAW Climate Conference Chair
  Straight from the horse’s mouth – the founding...
Predictive Policing: Six Ethical Predicaments
  Originally published in KDNuggets. This article is based...

4 years ago
Doppelganger Discovery: How Baseball Sabermetrics Inspires Predictive Analytics

 This author will present at Predictive Analytics World, Oct 29 – Nov 2 in New York. This article is excerpted from his book, Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are. The book delivers a fresh overview of big data with an emphasis on the intriguing insights revealed by Google search trends. The book also draws a new perspective on the power and peril of deployed machine learning (calling it “doppelganger discovery”). Click here for information about Seth’s upcoming PAW New York presentation and book signing. Here’s how Bill Simmons, a sportswriter and

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