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October 2018

MICDE/Quantitative Biology Seminar: Padmini Rangamani, Mechanical and Aerospace Engineering, UC San Diego

October 22 @ 12:00 pm - 1:00 pm
Location: 335 West Hall, 1085 S University
Ann Arbor, MI 48109 United States

Bio: Padmini Rangamani is an associate professor in Mechanical Engineering at the University of California, San Diego. She joined the department in July 2014. Earlier, she was a UC Berkeley…

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…

MICDE Seminar: Juan Pablo Vielma, Sloan School of Management, MIT

October 24 @ 3:00 pm - 4:00 pm
Location: 1680 IOE, 1205 BEAL AVE
Ann Arbor, MI 48109 United States

Bio: Juan Pablo Vielma is the Richard S. Leghorn (1939) Career Development Associate Professor at MIT Sloan School of Management and is affiliated to MIT’s Operations Research Center. Dr. Vielma…

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…