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...

Predictive Forecasting

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 will receive at any given time. Extreme events—peak travel times such as holidays, concerts, inclement weather, and sporting events—only heighten

Case Study: Hotel Occupancy Forecasting’s Big Payoff

 This Predictive Analytics story started with a question as most Predictive sojourns do. During a process improvement project meeting for a national resort company a question was posed; how much could the company save with an improved...