Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

forecasting

8 Things That Algorithms Can Do Better Than Humans

 We humans like to think that we are at the top of the evolutionary hierarchy. However, it is increasingly becoming clear that algorithms can execute some tasks better and more judiciously than humans can, or ever will be able to. From board games to medical diagnoses to reforming the justice system, algorithms are outperforming humans

Forecasting At Uber With Recurrent Neural Networks

 Originally published in Uber Engineering, June 9, 2017 At Uber, event forecasting enables us to future-proof our services based on anticipated user demand. The goal is to accurately predict where, when, and how many ride requests Uber...

Wise Practitioner – Predictive Analytics Interview Series: Feyzi Bagirov at Becker College

 In anticipation of his upcoming conference presentation, Acquisition Funnel for Higher Education at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Feyzi Bagirov, Data Science Advisor at Metadata.io and Analytics Instructor, Harrisburg...

Wise Practitioner – Predictive Analytics Interview Series: Jack Levis at UPS

 In anticipation of his upcoming keynote conference presentation, UPS’ Road to Optimization, at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Jack Levis, Senior Director, Process Management at UPS, a few questions...