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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Zachary Hanif

Zachary Hanif
Director, Center for Machine Learning, Capital One

Zachary Hanif is a director in Capital One’s Center for Machine Learning, where he leads teams focused on applying machine learning to cybersecurity and financial crime. His research interests include applications of machine learning and graph mining within the realm of massive security data and the automation of model validation and governance. Zachary graduated from the Georgia Institute of Technology.

Sessions

5:25pm–6:05pm Wednesday, 09/12/2018
Network effects: Working with modern graph analytic systems
Location: 1A 06/07 Level: Intermediate
Secondary topics:  Financial Services
Zachary Hanif (Capital One)
Average rating: ****.
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An understanding of graph-based analytical techniques can be extremely powerful when applied to modern practical problems, and modern frameworks and analytical techniques are making graph analysis methods viable for increasingly large, complex tasks. Zachary Hanif examines three prominent graph analytic methods, including graph convolutional networks, and applies them to concrete use cases. Read more.