ENV graduate students run successful Machine Learning workshop for Geospatial Data

Wednesday, February 13, 2019

Faculty of Environment graduate students from the Geospatial Club ran a successful workshop about Machine Learning for Geospatial Data. This event was held in collaboration with the Dana Porter Geospatial Centre. 

Our graduate students are leveraging Kaggle’s online platform for Data Scientists to promote the use of Machine Learning to tackle Global Challenges. 

The workshop is publicly available on Kaggle.

Students at tables

person pointing at screen

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