Events

  • 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 […]

    Spatial regression models

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    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 […]

  • Software Carpentry Workshop @WISE: Shell, R, Git

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    Please note: This is a two day workshop. January 11 and January 12  (*one* registration covering both days) Software Carpentry aims to help researchers get their work done in less […]

    GIS Fundamentals – I (Coordinate systems)

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    This is the first workshop in a series of workshops we are offering this semester on the fundamentals of GIS. Each workshop covers one or two key elements of GIS […]

    Advanced Graphics Optimization For Data Visualization In Unity3D

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    Modern 3D game engines and computer hardware can render convincing graphics, rivaling that of pre-rendered 3D animation. But video games still require special optimization techniques and tricks. This relates directly […]

    Introduction to SPSS: Basics of SPSS

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    Each section will go over one chapter from the materials at https://cscar.github.io/workshop-spss/ Section 1: Basics of SPSS (1/20, 10am – 12pm) Section 2: Variables (1/27, 10am – 12pm) Section 3: […]