Events

  • The 2nd Annual Data for Public Good Symposium

    Forum Hall, Palmer Commons

    Do you have experience in working alongside community partners in data analysis or program evaluation? Do you want to connect with others who are using their skills for public good? National efforts from organizations such as DataKind, Data Science for Social Good, and Statistics without Borders have been expanding in recent years as more individuals […]

    Survival analysis in Python

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

    Survival analysis is used when working with data that may be censored, as often is the case in studies of human subjects with incomplete follow-up.  The presence of censoring makes most forms of regression and other standard statistical analyses inappropriate. A body of specialized techniques for analyzing this type of data has been developed, including […]

    Generalized Additive Models

    Modern Languages Building (MLB), Room 2001A

    Nonlinear relationships abound in nature, though typical statistical models ignore this in favor of simplicity, often at a cost of both predictive capabilities and better understanding of the underlying phenomenon of interest.  One means to explore such relationships is through generalized additive models (GAM). This workshop will introduce participants to GAMs as a means to […]

    Introduction to the campus Hadoop cluster

    East Hall B254 530 Church St., Ann Arbor, MI, United States

    This course will cover 4 areas: Logging into the cluster How to upload your data How to run a job How to get your data from the cluster Prerequisites: Workshop participants should take the “Introduction to the Linux Command Line” workshop, and view the following videos: https://youtu.be/4Gfl0WuONMY https://www.youtube.com/watch?v=bcjSe0xCHbE Click here for more information on The Cavium […]

    Introduction to the campus Hadoop cluster

    East Hall B254 530 Church St., Ann Arbor, MI, United States

    This course will cover 4 areas: Logging into the cluster How to upload your data How to run a job How to get your data from the cluster Prerequisites: Workshop participants should take the “Introduction to the Linux Command Line” workshop, and view the following videos: https://youtu.be/4Gfl0WuONMY https://www.youtube.com/watch?v=bcjSe0xCHbE Click here for more information on The Cavium […]

    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 […]