Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
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...
SHARE THIS:

10 years ago
Wise Practitioner – Predictive Analytics Interview Series: David Talby at Atigeo

 In anticipation of his upcoming conference presentation, Semantic Natural Language Understanding with Spark, Machine-Learned Annotators & Deep-Learned Ontologies at Predictive Analytics World San Francisco, May 14-18, 2017, we asked David Talby, Chief Technology Officer at Atigeo, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: Over the past five years I’ve worked on a wide range of predictive analytics projects in the healthcare space. Clients were mostly healthcare providers – where models were built for patient risk prediction, population health management, forecasting clinical &

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.