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1
Introduction
2
Background
3
Competitions
4
Who are you
5
Background on Bela Ridge
6
Decision Trees
7
Ensemble Decision Trees
8
Example
9
Gradient Boosting
10
Netflix Competition
11
Multiple Techniques Compared
12
Problem Setting
13
Matrix Factorization
14
Clusters
15
Results
16
Methods
Description:
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

MITCBMM
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