Author Archive
By: Richard Boire, Senior Vice President, Environics Analytics For more from this writer, Richard Boire, see his session, “Demystifying Machine Learning-An Historical Perspective of What is New vs. Not New” at PAW Industry 4.0, June 19, 2019, in Las Vegas, part of Mega-PAW. As a practitioner with over 30 years of experience in the field,
By: Bill Luker Jr, PhD, Founder and Director, terraNovum Solutions
Predictive Analytics: The Power to Know Who Will Click, Lie, Buy or Die. Revised and Updated. Eric Siegel. (Wiley: Hoboken NJ. 2013, 2016) In 2013, as the worst effects of the crash had begun to reverberate out...
By: Stephen Chen For more from this writer, Stephen Chen, see his session, “The Perils of Prediction” at PAW Business, June 19, 2019, in Las Vegas, part of Mega-PAW. In an earlier article (“The Loss of Inference“)...
Originally published in Google AI Blog, January 15, 2019 By: Jeff Dean, Senior Fellow and Google AI Lead, on behalf of the entire Google Research Community For today’s leading deep learning methods and technology, attend the conference...
By: Sam Koslowsky, Senior Analytic Consultant, Harte Hanks After more than thirty years in the targeted modeling field, I still hear the same question I heard when I was first beginning. “Which tool produces the best...
By: Stephen Chen
For more from this writer, Stephen Chen, see his session, “The Perils of Prediction” at PAW Business, June 19, 2019, in Las Vegas, part of Mega-PAW. The burgeoning field of Data Science / Machine Learning...
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...
By: Jennifer Chu, MIT News Office
Originally published in MIT News, December 12, 2018. For today’s leading deep learning methods and technology, attend the conference and training workshops at Deep Learning World, June 16-19, 2019 in Las Vegas. Method could illuminate features...
By: Scott E. Page
Originally published in Harvard Business Review, November 19, 2018. Organizations are awash in data — from geocoded transactional data to real-time website traffic to semantic quantifications of corporate annual reports. All these data and data sources...
In this episode of The Dr. Data Show, 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,...
