Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Ethical Issues Related to Credit Scores
 A reasonable credit score and its accompanying benefits provide...
AI and ML in Health Care: A Brief Review
 Of the many disciplines that are active users of...
Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
 Isn’t it satisfying to find a tool that makes...
SHARE THIS:

3 years ago
Interview: The Institute of Business Forecasting & Planning Talks to Dr. Eric Siegel

  Dr. Eric Siegel cuts through the buzzwords surrounding predictive analytics to reveal what it is, how it works, and how it is driving major improvements in business—including in demand forecasting. He discusses the persuasion paradox, reveals how companies can get started in predictive analytics, and dispels the myth that all consumers of this technology need to be technically minded. A civil liberties activist, he also warns that misuse of this technology can further marginalize society’s most vulnerable groups. “Predictive analytics has become a critical best practice for all businesses that operate at scale”. What is predictive analytics?

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.