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, including the popular library TensorFlow. In this workshop, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs, as well as image classification using Convolutional Neural Networks (CNNs). We will also look […]

There are a variety of formats available for R markdown beyond 'standard html', one of which is Distill.  Distill is specifically oriented toward presentation of results, and offers a clean look with additional capabilities for citations, marginal exposition, and more.  One can even build an entire website or blog with this format.  This workshop will provide […]

This lecture-style workshop will introduce relevant concepts and techniques for modelling cross-sectional data observed on regular (such as remote sensing pixels) or irregular (such as Census polygons) lattice. Such data often exhibits spatial dependence and is common across several fields. We will cover the following topics: motivating examples from time series; spatial random fields and […]