Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Jorie Koster-Hale

Jorie Koster-Hale
Data Scientist, Dataiku

Jorie Koster-Hale is a lead data scientist at Dataiku with expertise in neuroscience, healthcare data, and machine learning. Previously, she was a postdoctoral fellow at Harvard. Jorie holds a PhD in cognitive neuroscience from the Massachusetts Institute of Technology. She currently resides in Paris, where she builds predictive models and eats pain au chocolat.

Sessions

17:25–18:05 Wednesday, 23 May 2018
Rent, rain, and regulations: Leveraging structure in big data to predict criminal activity
Data science and machine learning, Emerging technologies and case studies, Law, ethics, and governance
 Location: Capital Suite 10/11 Level: Intermediate
Jorie Koster-Hale (Dataiku)
Average rating: *****
(5.00, 3 ratings)
Because crime is affected by a number of geospatial and temporal features, predicting crime poses a unique technical challenge. Jorie Koster-Hale shares an approach using a combination of open source data, machine learning, time series modeling, and geostatistics to determine where crime will occur, what predicts it, and what we can do to prevent it in the future. Read more.