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...

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Wise Practitioner – Predictive Analytics Interview Series: Robin Thottungal at U.S. Environmental Protection Agency

 In anticipation of his upcoming conference keynote presentation, 21st Century Data-Driven Environmental Protection at Predictive Analytics World for Government, October 17-20, 2016, we asked Robin Thottungal, Chief Data Scientist/Director of Analytics at the U.S. Environmental Protection Agency (EPA), a few questions about his work in predictive analytics. Q: How would you characterize your agency’s current

Wise Practitioner – Predictive Analytics Interview Series: Miguel Castillo at U.S. Commodity Futures Trading Commission

 In anticipation of his upcoming conference co-presentation, Words that Matter:  Application of Text Analytics at the U.S. Commodity Futures Trading Commission, at Predictive Analytics World for Government, October 17-20, 2016, we asked Miguel Castillo, Assistant Inspector General...

Wise Practitioner – Predictive Analytics Interview Series: Dae Park and Vijay D’Souza at Government Accountability Office (GAO)

 In anticipation of their upcoming conference co-presentation, Characteristics for Those Claiming Social Security Benefits Early, at Predictive Analytics World for Government, October 17-20, 2016, we asked Dae Park, Assistant Director at Government Accountability Office (GAO), and Vijay...