Bio: Aditya G. Nair joined the Department of Mechanical Engineering at U. Nevada, Reno in August 2020. His research interests are in the areas of computational fluid dynamics, unsteady aerodynamics, […]
OVERVIEW This workshop will introduce you to high performance computing on the Great Lakes cluster. After a brief overview of the components of the cluster and the resources available there, the main […]
OVERVIEW This workshop will cover some more advanced topics in computing on the U-M Great Lakes Cluster. Topics to be covered include a review of common parallel programming models and […]
Many environmental variables such as temperature, rainfall, air pollutants, and soil nutrients are measured at sparsely sampled point locations. We often need to estimate these variables at one of more […]
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 […]
Many environmental variables such as temperature, rainfall, air pollutants, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled […]
This is part 1 of a 5-part series of workshops on programming in R. This week, we’ll discuss the following topics: creation and naming of objects, R’s global environment, arithmetic […]
Mobile app development is one of the biggest new industries of the last decade. As of 2017, Google and Apple (the creators of Android and iOS, respectively) confirmed a combined […]
Many environmental variables such as temperature, rainfall, air pollutants, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled […]
OVERVIEW Python has become a very popular programming language and software ecosystem for work in Data Science, integrating support for data access, data processing, modeling, machine learning, and visualization. In […]