Machine Learning Times
Machine Learning Times
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Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
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6 years ago
Wise Practitioner – Deep Learning World Interview Series: Domenic Puzio and Kate Highnam at Capital One

 In anticipation of their upcoming conference keynote co-presentation, Realtime Malware Detection with CNNs and LSTMs, at Deep Learning World in Las Vegas, June 3-7, 2018, we asked Domenic Puzio and Kate Highnam, Machine Learning Engineers at Capital One, a few questions about their work in deep learning. Q: In your work with deep learning, what do you model (i.e., what is the dependent variable, the behavior or outcome your models predict)? A:  Our research uses deep learning to model malware behavior. In particular, we look at domain names and predict if they are likely to be utilized by malware, allowing

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