Alan Feder

Principal Data Scientist at invesco

Alan Feder is a Principal Data Scientist at Invesco, where he uses data science, statistics, and machine learning to solve problems and build products throughout the company. Previously, he worked as a data scientist at AIG and an actuary at Swiss Re. He studied statistics and mathematics at Columbia University.

Alan lives in New York City with his wife, Ashira, and two children, Matan and Sarit.

WATCH LIVE: February 16 @ 2:25PM – 2:55PM ET

Machine Learning Interpretability: How to understand what your ML model is doing

When building predictive machine learning models, many data scientists feel a need to choose between a traditional regression model and a complex model that performs better but is more of an inscrutable black box. In this talk, I will show a number of methods that let us understand what drives the complex models without having to sacrifice accuracy.