Machine Learning in R
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]