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...
SHARE THIS:
  • Feb 4, 2014
  • Comments Off on Video: Determining True Non Linear Variable Relationships and Enhancement of Property Insurance Risk Models
  • PAW Conference Videos
  • 7934 Views

12 years ago
Video: Determining True Non Linear Variable Relationships and Enhancement of Property Insurance Risk Models

 

This speaker session is from Predictive Analytics World, September 30-October 1, 2013 in Boston, MA:

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.

Industry News

More Industry News...

Connect with Us

Stay update with all news!
Follow Us on Twitter Be a Fan of PAW on Facebook RSS Feed

Subscription

ADVERTISEMENTS


Produced By:

Rising Media
Prediction Impact
back-to-top
  Richard Boire, B.Sc. (McGill), MBA (Concordia), is the founding partner at the Boire Filler Group, a nationally recognized expert in the database and data analytical industry and is among the top experts in this field in Canada, with unique expertise and background experience. Mr. Boire’s mathematical and technical expertise is complimented by experience working at and with clients who work in the B2C and B2B environments. He previously worked at and with Clients such as: Reader’s Digest, American Express, Loyalty Group, and Petro-Canada among many to establish his top notch credentials. After 12 years of progressive data

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.