Machine Learning Techniques and Applications in Finance, Healthcare and Recommendation Systems

Speaker: David S. Vogel , Voloridge Investment Management, LLC

Date: Wednesday, April 12, 2017

Time: 2:00 PM to 3:00 PM Note: all times are in the Eastern Time Zone

Public: Yes

Location: MIT 46-3002, Singleton Auditorium

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Host: Prof. Tomaso Poggio

Contact: Kathleen Sullivan,

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Reminder Subject: TALK: Machine Learning Techniques and Applications in Finance, Healthcare and Recommendation Systems

Abstract: The introductory portion of this talk will review some state-of-the-art machine learning techniques. We will discuss concepts of ensembles and popular methodologies within this category. We’ll touch upon collaborative filtering techniques used for recommendation systems, and we’ll present certain algorithms published specifically for healthcare models.

We will later focus on application of the mentioned machine learning techniques covering healthcare, recommendation systems and portfolio construction in finance. We will refer to some past data modeling competitions such as Netflix (2007) and the Heritage Health Prize (2014) where thousands of algorithms were pitted against each other and evaluated impartially on a withheld data set. Within the financial application we will present risk management models that can be used to dictate/constrain positions within the portfolio construction process.

Biography: David S. Vogel is an award-winning predictive modeling scientist. In 2009, he founded the Voloridge Investment Management, LLC and also serves as its Chief Scientist, Chief Executive Officer, Chief Technology Officer and Managing Member. He has earned international recognition for models ranging from medical applications to direct marketing and has won numerous modeling competitions. David has also been invited to speak at conferences and research institutes worldwide.

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See other events that are part of the Brains, Minds and Machines Seminar Series 2017.

Created by Kathleen Sullivan Email at Tuesday, April 04, 2017 at 11:04 AM.