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October 2018

Introduction to Deep Neural Networks with Keras/TensorFlow

October 23 @ 2:00 pm - 4:00 pm

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…

Mixed Effects Modeling in Stata

October 24 @ 9:00 am - 11:00 am
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

We'll discuss mixed model regression (also known as multi-level models or hierarchical linear models) in this session which is used for repeated measures data or data which has a clustering…

Data management in R with data.table

October 26 @ 1:00 pm - 3:00 pm

Matt Dowle, author of the data.table package, describes it as, “provid a high-performance version of base R's data.frame with syntax and feature enhancements for ease of use, convenience and programming speed.” In this workshop…

Geostatistics

October 26 @ 1:30 pm - 5:00 pm
Location: Rackham Building, Earl Lewis Room, 3rd Floor East, 915 E. Washington St.
Ann Arbor, MI 48109 United States

Geostatistics deals with continuous variation over space and emphasizes the idea of spatial correlation via co-variance. It is widely used for spatial interpolation. We will use R (and ArcGIS) to…

November 2018

Regular Expressions II

November 2 @ 2:00 pm - 4:30 pm
Presenters: Alex Cao

Regular expressions are perfectly suited for people who like puzzles. Regular expressions are a sequence of characters used to define a search pattern. They are commonly used to do “find”…

Dimension Reduction Techniques

November 9 @ 1:00 pm - 3:00 pm

This workshop will provide an overview of commonly used dimension reduction techniques such as principle components analysis (PCA), multi-dimensional scaling (MDS), and factor analysis. The focus will be on concepts…