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Capturing human moments with AI and Python

Episode #135, published Fri, Oct 27, 2017, recorded Wed, Oct 25, 2017

We all have smartphones these days. And we take them with us everywhere we go. How much could you infer about a person (their stage in life, their driving style, their work / life balance) based on just a phone's motion and GPS data?

With the right mix of analytics and machine learning, turns out you can learn a lot about a person. Are they a dog-owning workaholic? Or an early rising parent of young children?

This week you'll meet Vincent Spruyt. He is the chief data scientist at Sentiance. A company building an SDK to answer these exact questions. You'll learn how they are using Python to make this happen and how they think this data could be used for the great good.

Links from the show

Vincent on Twitter: @vincent_spruyt
Sentiance blog:
Job openings:
The demo app, Journeys:
Explanation video on Sentiance:
And another video:
MIT Innovators under 35 Europe award:
Vincent's personal blog:

CNN Networks:
LSTM Networks:
Episode transcripts:

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Vincent Spruyt
Vincent Spruyt
Vincent has been Chief Scientist and Vice President of Sentiance since joining in 2014 after he finished his Ph.D. research on machine learning at Ghent University. He is responsible for the machine learning team at Sentiance, applying state-of-the-art academic research to real-life problems. He founded his first company at the age of 18 and his last in 2012. He gained several years of industry experience as a Network Security Consultant at BA, and as a Java Enterprise Software Architect at Toyota since September 2006.
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