Data Science Hub

Machine Learning Community Event. ML+Coffee offers a casual and social atmosphere where machine learning practitioners of all skill-levels can problem-solve with one another. CONTACT: endemann@wisc.edu URL: https://forms.gle/7DjF8zxHKXCWzvCZ8

Learn about ResearchDrive, Research Object Storage (S3), Electronic Lab Notebooks, Data Science Platform, Cloud Services. Come learn and ask questions about various tools and services offered to campus researchers, including: - Cloud Computing - Data Science Platform - Electronic Lab Notebooks (LabArchives) - Globus - ResearchDrive - Research Object Storage (S3) URL: https://it.wisc.edu/about/division-of-information-technology/research-cyberinfrastructure-2/ ONLINE: https://uwmadison.zoom.us/j/92738512877?pwd=m49qusq4QVrtBHLpq2D7XjO3R1NyRu.1

Learn about ResearchDrive, Research Object Storage (S3), Electronic Lab Notebooks, Data Science Platform, Cloud Services. Come learn and ask questions about various tools and services offered to campus researchers, including: - Cloud Computing - Data Science Platform - Electronic Lab Notebooks (LabArchives) - Globus - ResearchDrive - Research Object Storage (S3) URL: https://it.wisc.edu/about/division-of-information-technology/research-cyberinfrastructure-2/ ONLINE: https://uwmadison.zoom.us/j/92738512877?pwd=m49qusq4QVrtBHLpq2D7XjO3R1NyRu.1

Computational Biology, Ecology, and Evolution (ComBEE). Are you interested in learning about concepts and new data tools to streamline your microbiome research? Join us for the Monthly Thematic ComBEE Meeting! This month, we will have Shane Roesemann, UW-Madison graduate student and local Ambassador for the NMDC present. The National Microbiome Data Collaborative (NMDC) has created tools to enable researchers to upload, process, access, and reuse multi-omics microbiome data. CONTACT: sroesemann@wisc.edu

Learn about ResearchDrive, Research Object Storage (S3), Electronic Lab Notebooks, Data Science Platform, Cloud Services. Come learn and ask questions about various tools and services offered to campus researchers, including: - Cloud Computing - Data Science Platform - Electronic Lab Notebooks (LabArchives) - Globus - ResearchDrive - Research Object Storage (S3) URL: https://it.wisc.edu/about/division-of-information-technology/research-cyberinfrastructure-2/ ONLINE: https://uwmadison.zoom.us/j/92738512877?pwd=m49qusq4QVrtBHLpq2D7XjO3R1NyRu.1

Machine Learning Beyond Traditional CS Fields. CONTACT: endemann@wisc.edu ONLINE: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09

Machine Learning Community Event. CONTACT: endemann@wisc.edu URL: https://forms.gle/ASoH4eNM1DEPXNww7

ML+X: Machine Learning Beyond Traditional CS Fields. CONTACT: endemann@wisc.edu URL: https://urldefense.com/v3/__https:/forms.gle/RPM3fNhz98RzVaq3A__;!!Mak6IKo!LxsjxXXtgFEgc_E5u9evQwc7rsRhD9oqC4kpCcw7tYLIoyLWzUZTnRbqyT4I1kUZZRV_Q27gIc5KdNCZLv46nmIZzYvmL3IPA0k_Yw$ ONLINE: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09

Machine Learning Community Event. CONTACT: endemann@wisc.edu

A series of 4 computational workshops on various topics

https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/This lesson equips participants with trustworthy AI/ML practices, emphasizing fairness, explainability, reproducibility, accountability, and safety across three general data/model modalities: structured data (tabular), natural language processing (NLP), and computer vision. Participants will learn to evaluate and enhance the trustworthiness and reliability of models in each modality. Additionally, they will explore how to integrate these principles into future models, bridging ethical practices with practical applications in their research.This is a pilot workshop, testing out a lesson that is still under development. The lesson authors would appreciate any feedback you can give them about the lesson content and suggestions for how it could [...]

Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/

Learn Responsible Machine Learning Practices. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2024-12-02-uwmadison-trustworthyai/

Machine Learning Beyond Traditional CS Fields. CONTACT: endemann@wisc.edu ONLINE: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09