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May 2018

Geospatial analysis with Google Earth Engine

May 24 @ 2:00 pm - 5:00 pm

Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This workshop will provide an introduction to GEE. We will cover data…

June 2018

Introduction to Deep Neural Networks with Keras/Tensorflow

June 11 @ 10:00 am - 12:00 pm

Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries,…

Classification, Regression and Model Selection using Python’s Scikit-learn

June 15 @ 2:00 pm - 4:45 pm

This workshop will introduce participants to machine learning in Python. We’ll start with a brief explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the…

Spatial point process models

June 22 @ 1:00 pm - 4:30 pm

This is the first workshop in a series of three workshops that will cover spatial modeling of three broad classes of data: (i) spatial point pattern, (ii) discrete spatial variation…

July 2018

Spatial regression

July 26 @ 2:00 pm - 5:00 pm

This workshop will develop introductory concepts, tools, and techniques to model spatially referenced data observed over a regular or irregular grid. We will cover models such as spatial autoregressive that…