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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: sentiance.com/blog
Job openings: sentiance.com/jobs
The demo app, Journeys: sentiance.com/demo
Explanation video on Sentiance: youtube.com/watch?v=9WHhGycwmew
And another video: youtube.com/watch?v=emTkGgQ-ejI
MIT Innovators under 35 Europe award: innovatorsunder35.com/innovator/vincent-spruyt
Vincent's personal blog: visiondummy.com

Libraries
TensorFlow: tensorflow.org
Keras: keras.io
XGboost: github.com/dmlc/xgboost
CNN Networks: wikipedia.org/wiki/Convolutional_neural_network
LSTM Networks: wikipedia.org/wiki/Long_short-term_memory
DevPi: devpi.net/docs/devpi
PyCharm: jetbrains.com/pycharm
Python-Flamegraph: github.com/evanhempel/python-flamegraph
Episode transcripts: talkpython.fm

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