Predicting Traffic Collisions in Calgary using Open Data and Machine Learning

Saadiq Mohiuddin will speak about his recent project Predicting Traffic Collisions in Calgary using Open Data and Machine Learning. He’ll walk through some exploratory data analysis and how he created the visualization using Tensorflow and Mapbox.
Saadiq Mohiuddin (@saadiqmohiuddin) is a transportation engineer at the City of Calgary with an interest in data visualization, machine learning and deep learning and using technology to better understand mobility in cities. He blogs at http://www.saadiqm.com.
This project has garnered quite a bit of interest and was featured in a CBC article:
https://www.cbc.ca/news/canada/calgary/forecasting-car-crashes-data-map-1.4852286

As a second speaker of the night Dr. Chel Lee will provide a short tutorial on creating a neural network in R. It will be about 20-30 minutes long and will go through the steps on creating your first neural network and some of the things to be aware of when using them.

Hope to see you there.

This event is supported by the Pacific Institute for the Mathematical Sciences and the Cenvous Energy