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Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Armen Donigian

Armen Donigian
Data Engineer, ZestFinance

@armjan

Armen Donigian is team lead for modeling tools and explainability at ZestFinance. He started his career working on outdoor navigation algorithms using Kalman filters and later transitioned to build assisted GPS point positioning solutions at NASA’s Jet Propulsion Laboratory. After the landing of the Mars Curiosity Rover, he helped build data-driven products at several startups. Armen holds undergraduate and graduate degrees in computer science from UCLA and USC.

Sessions

4:50pm-5:30pm Thursday, September 6, 2018
Explaining machine learning models
Implementing AI
 Location: Continental 1-3
Secondary topics:  Ethics, Privacy, and Security, Health and Medicine
Armen Donigian (ZestFinance)
Average rating: ***..
(3.50, 2 ratings)
What does it mean to explain a machine learning model, and why is it important? Armen Donigian addresses those questions while discussing several modern explainability methods, including traditional feature contributions, LIME, and DeepLift. Each of these techniques offers a different perspective, and their clever application can reveal new insights and solve business requirements. Read more.