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 has taught graduate business analytics for the University of Iowa and the University of Chicago. 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.
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Posts by Mark J. Bennett

Technical Walkthrough 0 Jan 13, 2022

Accelerating Trustworthy AI for Credit Risk Management

On April 21, 2021, the EU Commission of the European Union issued a proposal for a regulation to harmonize the rules governing the design and marketing of AI... 12 MIN READ
Technical Walkthrough 1 Dec 08, 2021

Deep Learning vs Machine Learning Challenger Models for Default Risk with Explainability

Data Scientists and Machine Learning Engineers often face the dilemma of “machine learning compared to deep learning” classifier usage for their business... 18 MIN READ
Technical Walkthrough 0 Mar 26, 2021

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
Technical Walkthrough 0 Nov 12, 2020

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... 16 MIN READ
Technical Walkthrough 0 Jun 16, 2020

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