Mark J. Bennett

Mark Bennett is a senior data scientist at NVIDIA where he focuses on acceleration for financial machine learning. He holds an M.S. in computer science from the University of Southern California and a Ph.D. in computer science from UCLA and is an adjunct lecturer in business analytics for the University of Iowa. He held prior engineering and management positions at Argonne National Laboratory, Nokia Bell Laboratories, Northrop Grumman, XR Trading Securities, and Bank of America Securities. Mark co-authored the book Financial Analytics with R published by Cambridge University Press.

Posts by Mark J. Bennett

AI / Deep Learning

Detecting Financial Fraud Using GANs at Swedbank with Hopsworks and NVIDIA GPUs

Recently, one of Sweden’s largest banks trained generative adversarial neural networks (GANs) using NVIDIA GPUs as part of its fraud and money-laundering… 10 MIN READ
Data Science

Explaining and Accelerating Machine Learning for Loan Delinquencies

Machine learning (ML) can extract deep, complex insights out of data to help make decisions. In many cases, using more advanced models delivers real business… 16 MIN READ
AI / Deep Learning

Training and Fine-tuning BERT Using NVIDIA NGC

Imagine an AI program that can understand language better than humans can. Imagine building your own personal Siri or Google Search for a customized domain or… 12 MIN READ