Oct 10, 2024 12:15 PM – 1:15 PM 

Speaker: Md Atik Ahamed, Division of Biomedical Informatics, University of Kentucky

Title:
Advanced tools and packages for handling tabular data and time series data

Abstract:
In this comprehensive tutorial, we will assess several state-of-the-art models for analyzing both tabular and time series data. We will begin by discussing the advantages and limitations of models such as XGBoost, TransTab and MambaTab for tabular data, as well as deep learning approaches like PatchTST and TimeMachine models for time series prediction.
Following this overview, we will provide a step-by-step walkthrough of how to use corresponding tools and packages effectively. We will focus on real-world datasets and explanations of the packages in a user-friendly manner.

(Zoom link: https://uky.zoom.us/j/82467171189)

---

Artificial intelligence (AI) has been around for a long time but has only recently become a household name. Through advancements in machine learning and large language models, AI can generate high-quality content such as text, images, or audio. This capability enables exciting new products and services that enhance productivity and transform how we manage our daily tasks. In academia, AI plays an increasingly crucial role in driving groundbreaking discoveries and revolutionizing educational approaches at all levels.

The University of Kentucky community has embraced AI’s potential in research and education. Researchers from all disciplines use AI tools creatively to find a path and shorten the time to new discoveries. Likewise, educators and students at UK use AI tools to create new ways to present and internalize knowledge. 

The UK Center for Computational Sciences (CCS), ITS Research Computing Infrastructure, the IBI Center for Applied AI (IBI/CAAI), and the UK Artificial Intelligence and Machine Learning (AI/ML) Hub have joined forces to offer a year-long seminar series aimed at making AI “practical” to the broad UK community. The series’ program will consist of talks by UK scholars on using AI tools and techniques to advance their research or develop new instructional material and methodologies, along with tutorial-type presentations of specific AI tools. Presentations will occur on Thursdays at 12:15 PM in the CCS conference room (McVey Hall, Room 327). The venue provides some space for in-person participation; remote participation via Zoom will also be possible. The first presentation is scheduled for September 12th.

The series program can be found at https://www.ccs.uky.edu/ccs-seminar-series-on-ai-in-practice/.