This two-day event will cover deep learning, machine learning, and artificial intelligence — technologies transforming diverse scientific, engineering, and business domains. Hosted by UNC-Chapel Hill, Nvidia, and SAS. More Information
Find out more »Carolina Data Challenge Carolina Data Challenge is a data science oriented hackathon at the University of North Carolina at Chapel Hill. This event is co-hosted by the student organization, Carolina Analytics & Data Science, the UNC Computer Science Department, the Odum Institute, and the National Consortium for Data Science. Participants will have the opportunitiy to hack on a dataset from either the financial, technology or non-profit sector. At the end of the event, sponsors will present awards based on presentation…
Find out more »Dr. Julia Kuznetsova, a Data Scientist at Advance Auto Parts and a Product Owner of Demand Prediction team, will be visiting RENCI on Friday, October 19th to give a talk titled "Yes party vs. Don't party: Main factors in the state of the union addresses."
Find out more »Coastal emergency managers use storm surge model forecasts as a critical tool for planning and decision making during storm events. These models must be both accurate and fast to provide reliable information in a timely manner as a storm moves toward the coast. Casey Dietrich, assistant professor in the Department of Civil, Construction, and Environmental Engineering, will discuss the development of an enhanced storm surge modeling process that incorporates high-resolution datasets and visualization techniques to produce more accurate storm surge…
Find out more »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.
Find out more »Please join Amazon Web Services (AWS), the South Big Data Innovation Hub, and RENCI for an Amazon Web Services Training on Wednesday, October 31st from 8:30am to 4:45pm ET. This workshop will introduce advanced topics in AWS and take you through a deep-dive into AWS core services.
Find out more »The UNC Office of Technology Commercialization is hosting a seminar featuring leaders from the NC Biotechnology Center. The NC Biotech team will share the latest news about funding programs for university researchers and companies. Get information about new changes to NC Biotech’s grant programs, along with updates on its loan programs, agricultural initiatives, corporate recruitment efforts and life science intelligence resources. Audience: Faculty, researchers and graduate students Registration: https://www.eventbrite.com/e/nc-biotech-center-review-of-funding-options-for-technology-development-tickets-51520271519
Find out more »A cutting-edge tool, itk-jupyter-widgets, can be sued to interactively explore your data and the behavior of your algorithms. By leveraging the high-performance
rendering capabilities of modern web browsers, cross-platform 3D visualization, without software installation, is possible.
This workshop will facilitate a national, interdisciplinary scientific research discussion on modeling and managing climate change risks between three different but related research communities: the climate modeling and data community, statisticians, and researchers within the insurance and reinsurance industries. This workshop is organized jointly by SAMSI, RAA, RENCI, and WFU-CEES, with additional support from the NSF, SOA and CAS. To apply for registration, go to http://cees.wfu.edu/nexus/. Some funding is available to students and early career researchers. For all questions, please…
Find out more »Jupyter Day in the Triangle is a single-day conference for Jupyter users in the Southeast. The event takes place at The Carolina Club to showcase applications of the open source software created by Project Jupyter and community. These interactive technologies are reshaping how people interact with code and data in industry and academia. Jupyter in the Triangle is a chance for Jupyter users of all experience levels to share and learn about the state-of-the-art in open source scientific computing. We expect an exciting…
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