Join us for another Webinar on August 30, 2017!
It is well known in the Machine Learning community that an ensemble, or group, of classifiers is more accurate and less susceptible to overfitting than a single classifier. Lucena research has created an effective stock assessment data feed utilizing this principle. In this webinar we will show how the system works, and how multiple Machine Learning technologies are leveraged in its creation. The presentation concludes with back tested and forward tested results.
View the full flyer and register here: Multi-Expert Voting Ensemble: An AI-based Stock Assessment Data Feed