Events

  • Stata: Data Manipulation

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    This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata – […]

  • Image Segmentation using Deep Learning with FastAI

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    This workshop will demonstrate how to perform image segmentation using the FastAI Python library, which is built on the deep learning library PyTorch. Some familiarity with Python is expected, but no previous experience […]

    Map making in R

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    The focus of the workshop is twofold: to learn cartography principles for generating single and multivariable choropleth maps, and explore functionalities of R for generating static and interactive web maps. […]

  • Introduction to Machine Learning

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    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

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    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

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    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 […]