Machine Learning Times
EXCLUSIVE HIGHLIGHTS
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
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...

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...