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Nick Polson is Professor of Econometrics and Statistics at the Chicago Booth School of Business. Nick is a Bayesian statistician involved in research in machine intelligence, deep learning, and computational methods for Bayesian inference. He has developed a number of new algorithms and applied them across a variety of fields, including finance, economics, transportation and applied statistics. Nick was born in England, studied maths at Worcester College, Oxford; and obtained a PhD in Bayesian Statistics. He regularly speaks to large audiences in the US, UK and the rest of Europe.


AIQ Nick Polson, James Scott

A fun, timely, and optimistic treatment of the big ideas that every citizen of the 21st century should know if they want to understand how intelligent machines operating on massive data sets are changing the world around them, and how they can use this knowledge to make better decisions in their own lives.

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