Events

  • Introduction to Deep Neural Networks with Keras/TensorFlow

    Modern Languages Building (MLB), Room 2001A

    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 […]

    Geospatial Analysis with Google Earth Engine

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. This hands-on workshop will help you understand the power (and limitation) of GEE for carrying out an end-to-end analysis. You should have some exposure to GEE and remote sensing. We will focus on contemporary environmental issues and learn […]

  • Statistical Analysis with R

    Modern Languages Building (MLB), Room 2001A

    This is a two day workshop (March 4 and 5) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many built-in statistical procedures, a powerful feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphing capability […]

    Statistical Analysis with R

    Modern Languages Building (MLB), Room 2001A

    This is a two day workshop (March 4 and 5) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many built-in statistical procedures, a powerful feature of R is the facility for users to extend these procedures to suit their own needs.  Excellent graphing capability […]

    Latent Variable Modeling

    Modern Languages Building (MLB), Room 2001A

    Part of the Structural Equation Modeling (SEM) series.  This workshop will help participants develop skills in understanding and conducting latent variable models, particularly from the perspective of structural equation modeling. After a conceptual overview, a broad view of matrix factorization techniques will be provided along with specific examples (e.g. PCA, ‘factor analysis’).  In addition, measurement […]

    PySpark

    Modern Languages Building (MLB), Room 2001A

    Apache Spark is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. Industry has quickly adopted Spark and deployed it at scale for processing big data. Its main advantage include in-memory processing and a rich set of operations for wrangling data using DataFrames. In this workshop, we’ll introduce attendees […]

    Open Source GIS

    Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

    This workshop will cover introductory GIS concepts and techniques using open source tools. We will use QGIS and R and learn the basics of GIS by solving a number of different problems.  You will also learn to generate production quality maps. Some exposure to R will be helpful. The workshop is meant for students and researchers […]

    Intro to Web Applications using Flask and Python

    Modern Languages Building (MLB), Room 2001A

    Ever want to build your own web application? Do you want to do it using Python? Well then, Flask is the answer you are looking for. Its a micro web framework for Python to help you build your first web app. Come learn how to get started building, testing and deploying your first app to […]

    Introduction to Deep Neural Networks with Keras/TensorFlow

    Modern Languages Building (MLB), Room 2001A

    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 […]