Wednesday, February 10, 2021
2:00-3:30 PM
Virtual
Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.
All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.
The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.
Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.
CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.
Wednesdays 2-3:30PM
Join via Zoom* ( https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.
with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)
Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)
All members of the U-M community are invited to join our weekly virtual CoderSpaces in the Winter 2021 term to get research support and connect with others.
The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.
Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.
CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.
Wednesdays 2-3:30PM
Join via Zoom* ( https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.
with Armand Burks (ARC-TS/UMSI), Bennet Fauber (ARC-TS), Jule Krüger (ISR/ARC-TS), Meghan Richey (ARC-TS)
Expertise: automation of tasks and workflows, bash, C++, cloud analytics, Git, data analysis, management and visualization, GNU Make, HPC, Java, LaTeX, machine learning (Tensorflow, Keras, convolutional neural networks), Markdown, natural language processing, Python, R, web scraping (Selenium)
Building: | Off Campus Location |
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Location: | Virtual |
Event Link: | |
Website: | |
Event Type: | Meeting |
Tags: | Data Science, Information and Technology |
Source: | Happening @ Michigan from Information and Technology Services (ITS), CSCAR Workshops, Center for Political Studies - Institute for Social Research, Institute for Healthcare Policy and Innovation, Department of Political Science, Population Studies Center |
Upcoming Dates: |
Wednesday, February 10, 2021 2:00-3:30 PM
.....
Wednesday, April 28, 2021 2:00-3:30 PM
 (Last)
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