Supervised Machine Learning: Still the Most Important Machine Learning Technique with Keith McCormick, Senior Consultant and Trainer @ The Modeling Agency Abstract Regression, decision trees, neural networks – along with many other supervised learning techniques - provide powerful predictive insights. New users of these established techniques are often impressed with how easy it all seems to be since automated model-building software is widely available. However, proper data preparation and human input is still necessary to get optimal results. We will…
Find out more »Jason Coposky and Terrell Russell of the iRODS Consortium will kick off our evening with an Automated Ingest and Sync Policy Example. About the presentation: This talk covers the newly published synchronization policy example from the iRODS Consortium. The demo will use the Python Rule Engine Plugin and the Automated Ingest Framework to monitor a data source for new or changed files and then keeps those changes up-to-date in the iRODS Vault and catalog. With only three configuration variables, this…
Find out more »Visual Trumpery - A Talk by Alberto Cairo Alberto Cairo, Knight Chair in Visual Journalism at the University of Miami and author of The Functional Art and The Truthful Art, brings his Visual Trumpery lecture tour to the NCSU Libraries. The very title of this talk, Visual Trumpery, is an example of its content. It is intended to trigger your ideological defenses and trick you into believing what is not so. The English word “trumpery” means worthless nonsense, something that is showy and deceitful at the same time. Trumpery…
Find out more »*** 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…
Find out more »*** This event has been canceled due to the threat from hurricane Florence *** Abstract: As more and more microbial genomic data is generated, we face the challenge of discovering resources relevant to our questions. Brown will talk about a project in his lab aimed at building a sustainable and decentralized infrastructure for searching all public - and maybe even private - microbial genome resources using the open source ‘sourmash’ project, and he will describe some of the interim results…
Find out more »How do thunderstorms produce tornadoes? In this presentation, Dr. Matthew Parker of NC State’s Department of Marine, Earth, & Atmospheric Sciences will take you inside some of the most powerful storms on Earth via the high-resolution field work, models, and visualizations that researchers at NC State are using to understand how tornadoes are made.
Find out more »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 »
© 2025 RENCI
