How to apply machine learning to global economics from the The Trading Show of Chicago

(Last Updated On: September 2, 2014)

How to apply machine learning to global economics from the The Trading Show of Chicago

Alexander Fleiss, President, Chief Investment Officer, and Chairman of Rebellion Research, participated in this year’s Trading Show Chicago by giving a presentation on the afternoon of Day One on applying machine learning to global economics.

Download his presentation slides now >

Prior to co-founding Rebellion Research in 2007, Alexander served as a Principal at KMF Partners LP, a long-short US equity fund. While at KMF, he was primarily responsible for investments in the financial service, technology and consumer industries.

Find out what he had to say on:
Approaches to AI
Machine learning advantages
AI vs. human decision making
Overfitting
Model complexity
When to use AI
AI for short-term trading
AI economic predictions
AI predicting in practice
Alexander began his investment career as an analyst for Sloate, Weisman, Murray & Co which was acquired by Neuberger Berman. He developed investment algorithms with the firm’s CEO, Laura Sloate, who is a now a partner at Neuberger Berman and was featured in the book Investment Gurus. Alexander received a BA Degree from Amherst College.

Get your copy of the presentation now >

http://www.terrapinn.com/template/Live/PDF/Alexander-Fleiss-of-Rebellion-Research%27s/7185/15051/cmViZWxsaW9uMjAxNC5wZGY=

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