Industrial Data Science - Problems, Data sets & Techniques

Industrial Data Science - Problems, Data sets & Techniques

This was a guest lecture given for the "Predictive Analytics: Applications of Machine Learning" course in UC Santa Cruz, Silicon Valley ext.

We look at the problems and solutions techniques that make up the Industrial Data Science landscape, for the entire Asset lifecycle. From its design (birth), building, operating, monitoring, maintaining and eventual decommissioning.

Ram Narasimhan

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Ram Narasimhan

May 14, 2019
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