Explore machine learning techniques and their applications in finance, healthcare, and recommendation systems in this 39-minute talk by David Vogel, Trustee of Voloridge Investment Management, LLC. Gain insights into state-of-the-art methodologies, including ensembles and collaborative filtering. Discover how these techniques have been applied in real-world scenarios, such as the Netflix and Heritage Health Prize competitions. Learn about risk management models for portfolio construction and their role in financial decision-making. Benefit from Vogel's expertise as an award-winning predictive modeling scientist and gain valuable knowledge about the practical implementation of machine learning across diverse industries.
Machine Learning Techniques and Applications in Finance, Healthcare and Recommendation Systems
Overview
Syllabus
Introduction
Background
Competitions
Who are you
Background on Bela Ridge
Decision Trees
Ensemble Decision Trees
Example
Gradient Boosting
Netflix Competition
Multiple Techniques Compared
Problem Setting
Matrix Factorization
Clusters
Results
Methods
Taught by
MITCBMM
