Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...

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...