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Modern Languages Building (MLB), Room 2001A

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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…

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…

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”…

Statistical Analysis with R

November 13 @ 8:30 am - 3:00 pm
|Recurring Event (See all)
Nov 13 & Nov 14, 2018
Presenters: Chris Andrews is a statistical consultant at CSCAR and statistician in the UM Department of Ophthalmology and Visual Sciences. Formerly he was Research Assistant Professor at the State University of New York, University at Buffalo. He currently is the lead statistician for the Northeast Region Biostatistics Core of the Women’s Health Initiative and has additional experience as a statistical consultant for Roswell Park Cancer Institute.

This is a two day workshop (November 13 and 14) in R which  is a free and open source environment for data analysis and statistical computing.  While R contains many…

Web Scraping with Python

November 16 @ 2:00 pm - 4:30 pm

This workshop will provide an overview of how to scrape data from html pages and website APIs using Python. This will mostly be accomplished using the Python requests, beautifulsoup, retry…

Spatial point process models

November 29 @ 1:30 pm - 5:00 pm

Spatial point (and marked point) process models help us analyze the geometrical pattern of points in space and find application in a variety of fields including image processing, public health,…