Machine Learning for Geospatial Data

Want to get hands-on practice on Machine Learning tools for processing Geospatial Data?

Join us to learn how to implement Machine Learning workflows using real-world Geospatial datasets.

Register today as there are limited seats!

Learning Objectives

• How to import and visualize large Geospatial datasets, both vector and raster, in a Jupyter notebook environment.
• How to use basic functionalities of Python tools such as Numpy, Pandas, Scikit-learn, Matplotlib, and Keras.
• How to run advanced Machine Learning models using a GPU in a Cloud Computing setting.

Logistics:

• There are computers available, or you can bring your own laptop. It is not necessary to install any software in advance.