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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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. […]
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 […]
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 […]