Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Six Ways Machine Learning Threatens Social Justice
 Originally published in Big Think When you harness the...
Transitions: Predicting The Next Event
 Models predicting the potential spread of the COVID-19 pandemic...
Coursera’s “Machine Learning for Everyone” Fulfills Unmet Training Requirements
  My new course series on Coursera, Machine Learning...
Segmentation and RFM Analysis in the World of Wine and Spirits
 Segmentation is a hot word these days, and it...
SHARE THIS:

2 years ago
Predictive Analytics: A Review Essay

 Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, 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 of the system, analysts like myself, and of dozens of other stripes—statisticians, biostatisticians, econometricians, financial quants, psycho-sociological researchers, etc., etc. (not in any order)—were exposed to the first wave of evangelism for Big Data, and what it meant.  Characterized by ready enthusiasm, it radiated a minimum of science and a maximum of advertising-as-pseudo-science. We all know what Big Data is now.

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.