Machine Learning Times
Machine Learning Times
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Visualizing Decision Trees with Pybaobabdt
 Originally published in Towards Data Science, Dec 14, 2021....
Correspondence Analysis: From Raw Data to Visualizing Relationships
 Isn’t it satisfying to find a tool that makes...
Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
    Welcome to the next episode of The Machine...
A Refresher on Continuous Versus Discrete Input Variables
 How many times have I heard that the most...
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6 years ago
Wise Practitioner – Predictive Analytics Interview Series: Darryl Humphrey at Alberta Blue Cross

 In anticipation of his upcoming conference presentation, Claim Pattern Anomalies – Making a Mole Hill Out of a Mountain at Predictive Analytics World San Francisco, May 14-18, 2017, we asked Darryl Humphrey, Senior Data Scientists at Alberta Blue Cross, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: Our scope is health, dental, and pharmacy benefit claims submitted by plan members and providers.  Our objective is to reliably gauge the probability that a claim, or series of claims, is / are fraudulent or represent

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