Machine Learning Times
Machine Learning Times
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AI and ML in Health Care: A Brief Review
 Of the many disciplines that are active users of...
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...
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5 years ago
Wise Practitioner – Predictive Analytics Interview Series: Haig R. Nalbantian at Mercer

 In anticipation of his upcoming conference co-presentation, What Millennial Employees Actually Value: Lessons from Predictive Modeling, at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Haig R. Nalbantian, Senior Partner, Co-leader Mercer Workforce Sciences Institute at Mercer, 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 Workforce Sciences team has been applying advanced analytics to inform workforce management decisions since the early 90s. We work with two broad classes of models: the first, Internal Labor Market (ILM) Analysis® is

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