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September 2018

Triangle Python Users Group – CANCELED

September 12, 2018 @ 6:00 pm - 9:00 pm
Biltmore Conference Room, 100 Europa Drive, Suite 540
Chapel Hill, NC 27517 United States
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*** This event has been canceled due to the threat from hurricane Florence *** Chapel Hill Project Night meets on second Wednesdays. Have a project you want to show off, share, seek help with, or just get some work done surrounded by like-minded Python lovers? Join us for our monthly project night and do just that! Don't have something to work on? Just need some help with Python? Show up and enjoy the energy, sprint on an open source project, find something interesting to contribute…

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October 2018

Dplyr-Style Data Manipulation With Pandas

October 25, 2018 @ 7:00 pm - 9:00 pm
Biltmore Conference Room, 100 Europa Drive, Suite 540
Chapel Hill, NC 27517 United States
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In this talk, Ian Cook will discuss how to apply the tenets of R's dplyr package (immutability, chaining, consistency, parsimony) when working with Python's pandas library. In the R community, dplyr is the most widely used data manipulation package. dplyr provides a small, consistent set set of "verbs" (functions) that you can use to perform most common operations on R data frames.

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March 2019

Analytics Frontiers 2019

March 26, 2019 - March 27, 2019
The Ritz-Carlton, Charlotte, 201 E Trade St
Charlotte, NC 28202 United States
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$500

Analytics Frontiers showcases the industry’s top leaders and innovators in data science. As the Southeast's largest conference of its kind, this annual event connects C-level executives, top data scientists, researchers, entrepreneurs, academia, and government leaders together to share ideas, network and advance the region as a leading technology hub. With approximately 500-600 attendees, Analytics Frontiers aims to attract an elite group of professionals who are among the field's top influencers.

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May 2019

Using Deep Learning to Model the Hierarchical Structure and Function of a Cell

May 23, 2019 @ 1:30 pm - 2:30 pm
DaVinci Conference Room

Ma J, Yu MK, Fong S, Ono K, Sage E, Demchak B, Sharan R, Ideker T. Abstract Although artificial neural networks are powerful classifiers, their internal structures are hard to interpret. In the life sciences, extensive knowledge of cell biology provides an opportunity to design visible neural networks (VNNs) that couple the model's inner workings to those of real systems. Here we develop DCell, a VNN embedded in the hierarchical structure of 2,526 subsystems comprising a eukaryotic cell (http://d-cell.ucsd.edu/). Trained…

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