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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]