Machine Learning Times
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Transitions: Predicting The Next Event
 Models predicting the potential spread of the COVID-19 pandemic...
Coursera’s “Machine Learning for Everyone” Fulfills Unmet Training Requirements
  My new course series on Coursera, Machine Learning...
Segmentation and RFM Analysis in the World of Wine and Spirits
 Segmentation is a hot word these days, and it...
How Machine Learning Works – in 20 Seconds
  This transcript comes from Coursera’s online course series,...
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3 years ago
Wise Practitioner – Predictive Analytics Interview Series: Andrew Burt at Immuta

 In anticipation of his upcoming conference presentation, Regulating Opacity: Solving for the Conflict Between Laws and Analytics at Predictive Analytics World for Business New York, Oct 29-Nov 2, 2017, we asked Andrew Burt, Chief Privacy Officer & Legal Engineer at Immuta, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what challenges do you most frequently encounter? A: I consistently come across three types of problems faced by data science teams large and small: access, collaboration, and governance issues. On the access side, data scientists have an incredibly difficult time getting

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