Texas State Center for Analytics and Data Science (TXST CADS)

Enhancing Lives Through Cutting-Edge Analytics and Data Science Research

What We Do

The Center for Analytics and Data Science is Texas State University's interdisciplinary hub for data-intensive research, education, and outreach.
McCoy College of Business Building

News & Opportunities

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Catalyst Research Award Winners

View the 2024 award winners

Applied AI Summer Workshop

May 13-24

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HPC Summer Workshop

May 20-24

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Upcoming Events

Location:
Online Only
Cost:
Free
Contact:
Maggie Hutchins, cads@txstate.edu
Campus Sponsor:
Center for Analytics and Data Science
In this session, we'll cover what datasets for Machine Learning and Deep Learning projects look like and how to find them. This will include highlighting some of the most popular datasets in the community today as well as good sources to download these datasets from.
Some brief tips and tricks for cleaning up datasets will be covered and we'll conclude the session with a mini-workshop and lab showing how to import and interact with datasets in a Jupyter Notebook.  The lab use case that we'll look at focuses around public health and data pulled from various APIs.
Click here for more information
more about event

Location:
Online Only
Cost:
Free
Contact:
Maggie Hutchins, cads@txstate.edu
Campus Sponsor:
Center for Analytics and Data Science
In this session, we'll cover the basics around what computer vision is, how it works (classification, object detection, segmentation), some of the popular frameworks and models used today, and what some of the practical applications might be in research and industry.  We'll also walk through what a typical Computer Vision project lifecycle might look like.

We'll cap the session with a 20-minute rapid mini-workshop via Jupyter Notebook where we'll use code examples to build a CNN image classifier as well as using pretrained model libraries for object detection and image segmentation.
Click here for more information
more about event
Location:
Online Only
Cost:
Free
Contact:
Maggie Hutchins, cads@txstate.edu
Campus Sponsor:
Center for Analytics and Data Science
This session will cover the ML/DL ecosystem of container-powered technologies and the best ways to get started and accelerate your journey in building, training, deploying, and scaling your models.  We'll touch on NVIDIA NGC, Docker, Kubernetes, Singularity, and other ways to get started and get going quickly. Click here for more information
more about event
Location:
Online Only
Cost:
Free
Contact:
Maggie Hutchins, cads@txstate.edu
Campus Sponsor:
Center for Analytics and Data Science
In this session, we'll overview the landscape around LLMs and Generative AI and look into a few of the most popular frameworks for training and using LLM models, including Mosaic MPT, Falcon, and Nemo.  This session will also include a Jupyter Notebook lab that will take attendees through the process of training and finetuning a simple LLM model. Click here for more information
more about event

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