In this workshop, we’ll first discuss core machine learning concepts such as: choosing loss functions and evaluation metrics; splitting the data into training, validation, and testing sets; and cross-validation patterns for tuning hyper-parameters. Next, we’ll apply these concepts to train models for identifying isolated letters from speech (https://archive.ics.uci.edu/ml/datasets/isolet). Specifically, we’ll apply the elastic net (a […]
Bio: John Harlim is a Professor in the Department of Mathematics and the Department of Meteorology and Atmospheric Sciences. Harlim received his undergraduate degree in Mathematics from the Universitas Padjadaran (Indonesia), a master’s from the University of Guelph in Applied Mathematics, and a PhD in Applied Mathematics and Scientific Computation from the University of Maryland […]
This is a two-session workshop on the use of Go for data processing. Go is an open source language developed for general-purpose programming. It is not more difficult to learn and use than a high-level scripting language like Python, but it is strongly typed, statically compiled, and provides native support for concurrency, leading to much […]
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 […]
This workshop is a continuation of the previous workshop “Building software projects: use CMake to build the building plan”. In this workshop, we will see that CMake is not just a fancy Makefile generator: it can help us to test, reuse, and distribute our software! We will use CMake to build two interdependent multi-language projects, […]
This session will be held online, and presenters will be in touch with more information after you register. Video game development is more accessible than ever before thanks to modern software tools, with many options free to download. These tools are also used to program more "serious" applications that require interactive 3D graphics, from […]
This session will be held online, and presenters will be in touch with more information after you register. R is a popular open source programming environment for statistics and data science. However, it has also gradually become very powerful for GIS and spatial data science. This workshop will help you learn about the tools […]
This session will be held online, and presenters will be in touch with more information after you register. Mediation analysis is a set of tools for exploring hypotheses about causal pathways, with a special focus on differentiating “direct” from “mediated” associations between an exposure and an outcome. Many approaches to mediation analysis are based […]
This webinar will showcase some of the game-changing research supported by our Catalyst Grants program. This event was recorded and will be on the UM Youtube channel shortly. Speakers Robert Krasny Professor of Applied Mathematics and Mathematics University of Michigan INTEGRAL EQUATION BASED METHODS FOR SCIENTIFIC COMPUTING There are several different approaches to the numerical solution […]
