Machine Learning Times
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Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars
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A Refresher on Continuous Versus Discrete Input Variables
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Podcast: Why Deep Learning Could Expedite the Next AI Winter
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PAW Preview Video: Evan Wimpey, Director of Strategic Analytics at Elder Research
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6 years ago
Wise Practitioner – Predictive Analytics Interview Series: Madhusudan Raman at Verizon

 In anticipation of his upcoming conference presentation, Best Practices Enhancing Contextual Experience with Predictive Analytics, at Predictive Analytics World New York, October 23-27, 2016, we asked Madhusudan Raman, Innovation Incubator at Verizon, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A: As in the past, Contextual Intent, Contextual Mood, Internet Advertising Bureau (IAB) Context, Contextual Interestingness, and Propensity to Buy/Act continue to be strong prediction targets. Q: What emerging needs are you seeing related to the behaviors your models predict? A: Recently the prediction of Thing behaviors

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