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:

11 years ago
Is Big Data Better?

 Big data is usually defined as lots of records and fields with large variety, volume, and velocity. But big data by itself is of no value; it’s the information in the big data that determines its value. If the records contain little information, it’s obvious that more records containing little information will be of little help in predictive modeling. Consider a behavioral data collected on a retailer’s web site. Time on site, even for millions of visits will provide some information, but little truly valuable information to help us predict whether or not someone will purchase soon. Additional

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.