Machine Learning Times
Machine Learning Times
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...

7 years ago
Wise Practitioner – Predictive Analytics Interview Series: Bin Mu at MetLife

 In anticipation of his upcoming conference presentation, Establishing Value: The “Making Impact Through Analytics” Framework, at Predictive Analytics World Boston, Sept 27-Oct 1, 2015, we asked Bin Mu, Vice President, Business Analytics at MetLife, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A: We use predict analytics to power the business functions across insurance operation.  For example, when it comes to Channel, we use marketing mix, channel optimization to drive volume; for Acquisition, we have propensity models to uplift response, retention and cross-sell; for underwriting, we

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