Tutorials and Worksops Talon HPC¶
This is where we will post tutorials and workshops regarding Talon HPC
Please check our tutorials dedicated GitHub Repository: https://github.com/UNT-RITS/Tutorials
Introduction course to R¶
Created by Jonathan Starkweather from Data Science & Analytics
Using Rstudio on Talon3¶
A video tutorial from Rich Herrington from Data Science & Analystics
Find New Sentiments in Text Data¶
march 03, 2020 | University of North Texas DP F223
Presented by George Mihaila
Using text embedding and clustering methods to find new sentiments in text data.
Use imdb movie reviews dataset and see how positive-negative sentiments can be used to find other sentiments. Use Tensorflow 2, Word Embeddings, Contextual Embeddings. We’ll do clustering and find best number of cluster in data we don’t know anything about. We’ll do pretty plots to interpret results! We’ll do all this on our UNT Talon Supercomputer!
Intro to Word Embeddings - NLP Tools on Talon¶
may 2, 2019 | University of North Texas DP F223
Presented by George Mihaila
Natural Language Processing on Talon HPC
Ever wondered or curious about natural language processing? How do you load a text file, how do you ‘clean’ it, how do you make use of it? We will learn all that and at the end you will build a Neural Network model that can predict a sentiment of a Movie Review. All this on Talon!
Using Python and Jupyter Notebooks on Talon¶
may 1, 2019 | University of North Texas DP F223
Presented by George Mihaila
Hands on work on Talon UNT HPC
This workshop will go over some basic instruction about Python and Jupyter Notebooks. We will learn how to see what libraries we have available and how to install your own.Learn how to create a virtual environment, and most exciting build a simple Neural Network model to predict diabetes! All this on Talon!
Machine Learning - Neural Networks on Talon¶
november 30, 2018 | University of North Texas GAB 535
Presented by George Mihaila
What are Neural Networks, and why everyone is talking about them?
This workshop is meant to give a general overview of why Neural Networks and Deep Learning are getting so much attention and help shed some light on how they work and what applications are possible because of them.