Practical introduction to text analysis, designed for those with Python experience. Join this workshop for a practical Introduction to Text Analysis, designed for those with Python experience (how to create functions, for loops, conditional logic, use the pandas library, etc.). The workshop covers Natural Language Processing (NLP) basics, API usage, data preparation, document/word embeddings, topic modeling, Word2Vec, Transformer models using Hugging Face, and ethical considerations. Students and researchers working in the digital humanities are especially encouraged to attend! CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-04-28-uwmadison-textanalysis/

Practical introduction to text analysis, designed for those with Python experience. Join this workshop for a practical Introduction to Text Analysis, designed for those with Python experience (how to create functions, for loops, conditional logic, use the pandas library, etc.). The workshop covers Natural Language Processing (NLP) basics, API usage, data preparation, document/word embeddings, topic modeling, Word2Vec, Transformer models using Hugging Face, and ethical considerations. Students and researchers working in the digital humanities are especially encouraged to attend! CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-04-28-uwmadison-textanalysis/

Practical introduction to text analysis, designed for those with Python experience. Join this workshop for a practical Introduction to Text Analysis, designed for those with Python experience (how to create functions, for loops, conditional logic, use the pandas library, etc.). The workshop covers Natural Language Processing (NLP) basics, API usage, data preparation, document/word embeddings, topic modeling, Word2Vec, Transformer models using Hugging Face, and ethical considerations. Students and researchers working in the digital humanities are especially encouraged to attend! CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-04-28-uwmadison-textanalysis/

Practical introduction to text analysis, designed for those with Python experience. Join this workshop for a practical Introduction to Text Analysis, designed for those with Python experience (how to create functions, for loops, conditional logic, use the pandas library, etc.). The workshop covers Natural Language Processing (NLP) basics, API usage, data preparation, document/word embeddings, topic modeling, Word2Vec, Transformer models using Hugging Face, and ethical considerations. Students and researchers working in the digital humanities are especially encouraged to attend! CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-04-28-uwmadison-textanalysis/

ML+X: Machine Learning Beyond Traditional CS Fields. CONTACT: endemann@wisc.edu URL: https://docs.google.com/forms/d/e/1FAIpQLSepL9Gzq3brXGRdKO8_OqVr5hmX4oTHD31tjfLl_Uvur8ONiA/viewform?usp=sharing ONLINE: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09

CONTACT: endemann@wisc.edu URL: https://docs.google.com/forms/d/e/1FAIpQLSepL9Gzq3brXGRdKO8_OqVr5hmX4oTHD31tjfLl_Uvur8ONiA/viewform?usp=sharing

Hands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/

Hands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/

Hands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/

Hands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/

Join the community and connect with others interested in Research Software Engineering (RSE) at the first UW RSE community town hall. The goal of the UW RSE community is to share ideas, methods, and best practices to improve the way we do and share research. The UW RSE community is open to anyone at UW–Madison engaged in, or interested in, research software engineering. CONTACT: rbemowski@wisc.edu

Fundamental Data Skills Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-reudc/