Lucena Research Webinar – The Multi-Expert Voting Ensemble: An AI-based Stock Assessment Data Feed

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Date/Time
08/30/2017
11:00 am - 12:00 pm

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Join Tucker Balch, Ph.D. and Erez Katz of Lucena Research on August 30, 2017 for their webinar The Multi-Expert Voting Ensemble: An AI-based Stock Assessment Data Feed.   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.

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Date: Wednesday, August 30, 2017

Time: 11:00 AM – 12:00 PM EDT

Topic: The Multi-Expert Voting Ensemble: An AI-based Stock Assessment Data Feed

Presenter:  Tucker Balch, Ph.D.

Presenter: Erez Katz

Registration: Registration is free for members and non-member. Register here.

 

Presenter(s)

Erez Katz

Erez-headshot-crop
Erez Katz is an accomplished serial entrepreneur and a C-level executive with a proven track record of effective leadership, instilling operation efficiencies and driving profitable growth. Erez is the active CEO and Co-Founder of Lucena research and was instrumental in...
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Tucker Balch, Ph.D.

Tucker Balch
Tucker Balch, Ph.D. is a former F-15 pilot, professor at Georgia Tech, and co-founder and CTO of Lucena Research, an investment software startup. His research focuses on topics that range from the understanding social animal behavior to the challenges of applying Machine...
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