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December 2020
Introduction to Machine Learning
OVERVIEW Machine learning is becoming an increasingly popular tool in several fields, including data science, medicine, engineering, and business. This workshop will cover basic concepts related to machine learning, including…
Introduction to Deep Neural Networks with Keras/TensorFlow
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…
Using Distill for R Markdown
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…
Spatial regression models
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…
January 2021
Using GPUs with Python
Python is the Lingua Franca of Data today and is being increasingly used in scientific computations. This workshop introduces Python GPU tools for porting and writing code that runs on…
