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...

Hopper

Wise Practitioner – Predictive Analytics Interview Series: Dr. Patrick Surry of Hopper

 In anticipation of his upcoming keynote conference presentation, Buy or Wait? How the Bunny Predicts When to Buy Your Plane Ticket, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Dr. Patrick Surry, Chief Data Scientist at Hopper, a few questions about his work in predictive analytics. Q:  In your work with predictive

Four Ways Data Science Goes Wrong and How Test-Driven Data Analysis Can Help

 If, as Niels Bohr maintained, an expert is a person who has made all the mistakes that can be made in a narrow field, we consider ourselves expert data scientists.  After twenty years of doing what’s been...