Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Why You Must Twist Your Data Scientist’s Arm To Estimate AI’s Value
 Originally published in Forbes, June 11, 2024. If you’ve...
3 Ways Predictive AI Delivers More Value Than Generative AI
 Originally published in Forbes, March 4, 2024. Which kind...
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...

Original Content

Credit Models are Winning and I’m Keeping Score!

 Classification scorecards are a great way to predict things because the techniques used in the banking industry specialize in interpretability, predictive power, and ease of deployment. The banking industry has long used credit scoring to determine credit risk—the likelihood a particular loan will be paid back.  A scorecard is a common way of displaying the

Wise Practitioner – Predictive Analytics Interview Series: Richard Boire at Environics Analytics

 In anticipation of his upcoming conference presentation, What it Means to the Data Scientist as Financial Services Faces Disruptive Times, at Predictive Analytics World for Financial in Las Vegas, June 3-7, 2018, we asked Richard Boire, Senior...

Wise Practitioner – Deep Learning World Interview Series: James McCaffrey at Microsoft

 In anticipation of his upcoming conference presentation, LSTM Neural Networks for Time Series Analysis at Deep Learning World in Las Vegas, June 3-7, 2018, we asked James McCaffrey, Senior Scientist Engineer at Microsoft, a few questions about...

Justice Can’t Be Colorblind: How to Fight Bias with Predictive Policing

 Originally published by Scientific American Predictive policing uncovers racial inequity, which it threatens to perpetuate – but, if we turn things around, it also presents an unprecedented opportunity to advance social justice. Law enforcement’s use of predictive...

Wise Practitioner – Predictive Analytics Interview Series: Matt Hayes and Rebecca Guess at Baptist Health Medical Group

 In anticipation of their upcoming conference co-presentation, Improving Employee Engagement on a Shoestring Budget at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Matt Hayes, Director, Practice Optimization and Rebecca Guess, Quality Analyst,...

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...

Wise Practitioner – Predictive Analytics Interview Series: Will Scheck and Andy Jacob at Caterpillar

 In anticipation of their upcoming conference co-presentation, Predicting Readiness to Purchase, at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Will Scheck, Analytics Manager at Caterpillar and Andy Jacob, Data Scientist at Caterpillar,...

Wise Practitioner – Predictive Analytics Interview Series: Greg Zeeman and Joe DeCosmo at Enova International

 In anticipation of their upcoming conference co-presentation, How Digital Decisioning Can Help Your Business Adapt Quickly to Regulatory Changes, at Predictive Analytics World for Financial in Las Vegas, June 3-7, 2018, we asked Greg Zeeman, Chief Operating...

Wise Practitioner – Predictive Analytics Interview Series: Syed Mehmud at Wakely Consulting Group, Society of Actuaries

 In anticipation of his upcoming conference presentation, Leveraging Predictive Analytics to Understand the Financial Drivers of the ACA, at Predictive Analytics World for Financial in Las Vegas, June 3-7, 2018, we asked Syed Mehmud, Principal at Wakely...

The “Data Science” of Computer Science and IT Is Not the Only Data Science

 For reasons perhaps having to do with “siloed thinking” or “not-invented-here” syndrome (things that can affect all teams from time to time), many participants on the Big Data Management (BDM) and Big Data Analysis (BDA) scene have...

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