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August 2018

Data+ 2018 Poster Session

August 3 @ 2:00 pm - 3:30 pm
Energy Hub Lobby, Gross Hall 100
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Call for Presentations — Deep Learning Symposium

August 15

UNC Research Computing along with Nvidia and SAS are hosting a two day symposium on Deep Learning (DL), Machine Learning (ML), and Artificial Intelligence (AI) at the SAS campus in Cary, NC, on September 27-28, 2018. Deep Learning, Machine Learning, and Artificial Intelligence, technologies are transforming diverse scientific, engineering and business domains. This is a call for presentations that characterize the use of these technologies in research. We are soliciting calls for presentations. To be considered for a 30 minute…

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Building a machine learning health system (Nigam H. Shah, Stanford)

August 15 @ 11:00 am - 12:00 pm
Hock Building, 2nd Floor, CRTP Classroom

Abstract: Using Electronic Health Records (EHRs), it is possible to examine the outcomes of decisions made by doctors during routine care and generate evidence from the collective experience of patients. We will discuss our efforts at Stanford Medicine for transforming unstructured EHR data to discover hidden trends, build predictive models, and drive comparative effectiveness studies in a learning health system. Dr. Nigam H. Shah is an Associate Professor of Medicine at the Stanford University. Dr. Shah's research focuses on combining machine…

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September 2018

Intro to R: Data Transformations, Data Structures, and the Tidyverse (DVS Workshop)

September 4 @ 1:30 pm - 3:30 pm
Bostock Library 023

Instructor: John Little A gentle introduction to R and the Tidyverse using RStudio. Learn about managing your R projects, data types, variable assignments, data structures, and packages such as: tidyverse (dplyR) and ggvis. Attendees will have the opportunity of supplementing the materials covered in this workshop with free academic access to the interactive training workshops at DataCamp.com. Contact: Joel Herndon

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Machine Learning Seminar: Jody Heck Wortman (Democratic National Committee Data Scientist)

September 5 @ 3:30 pm - 4:30 pm
Gross Hall 330

Reception 3:00; Seminar 3:30

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Building Blocks for Reproducibility: Concepts and Practices (DVS Workshop)

September 11 @ 10:00 am - 12:00 pm
Bostock Library 023

Instructor: April Clyburne-Sherin (Code Ocean) In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. DVS is offering a workshop series that will introduce the concepts, practices and tools that will help increase the reproducibility of your work. This workshop will introduce the concept of reproducibility, its impact on science, and basic best practices that you can apply to make your…

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ECE Seminar: A Machine Learning Approach to Modeling Human Interaction with Autonomous Vehicles

September 18 @ 12:00 pm - 1:00 pm
Fitzpatrick Center Schiciano Auditorium

Speaker: Mary L. "Missy" Cunningham There is significant interest in the development and deployment of safety-critical technologies with embedded autonomy. However, most of these systems require some form of human interaction whether it is humans supervising these systems like a drone operator, or people working in and around the system such as pedestrians and driverless cars. This talk will describe an unsupervised learning approach to modeling human interaction with autonomous systems and how such models can be used to diagnose…

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Visualization in R using ggplot2 (DVS Workshop)

September 18 @ 1:30 pm - 3:30 pm
Bostock Library 023

Instructor: Angela Zoss Data science skills are increasingly important for research and industry projects. With complex data science projects, however, come complex needs for understanding and communicating analysis processes and results. Ultimately, an analyst's data science toolbox is incomplete without visualization skills. Incorporating effective visualizations directly into the analysis tool you are using can facilitate quick data exploration, streamline your research process, and improve the reproducibility of your research. In this workshop we will focus on ggplot2, a library for…

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Data Management 101 for Social Scientists (DVS Workshop)

September 19 @ 1:00 pm - 3:00 pm
Bostock Library 023

Instructors: Sophia Lafferty-Hess, Jen Darragh, and Lorrie Schmidt Social scientists work with lots of data in their research, be it qualitative or quantitative, primary or secondary. This workshop will introduce data management practices for social scientists to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented through a social sciences lens using discipline-based, concrete examples. While good general data management practices are relevant…

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Machine Learning Seminar: Eva Lee (Georgia Tech)

September 19 @ 3:30 pm - 4:30 pm
Gross Hall 330

Reception: 3:00; Seminar 3:30 Host: Cynthia Rudin

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