Introduction to Machine Learning

Orchard View Room, Discovery Building

Get started with core machine learning concepts using Python and Scikit-Learn. This hands-on Carpentries-style workshop covers regression, clustering, ensemble methods, dimensionality reduction (PCA/t-SNE), and a brief intro to neural networks. We’ll also discuss the ethical implications of machine learning in research. Python experience required (e.g., familiarity with pandas, writing functions, for loops, and using libraries). CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-07-30-uwmadison-IntrotoML/

Introduction to Machine Learning

Orchard View Room, Discovery Building

Get started with core machine learning concepts using Python and Scikit-Learn. This hands-on Carpentries-style workshop covers regression, clustering, ensemble methods, dimensionality reduction (PCA/t-SNE), and a brief intro to neural networks. We’ll also discuss the ethical implications of machine learning in research. Python experience required (e.g., familiarity with pandas, writing functions, for loops, and using libraries). CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-07-30-uwmadison-IntrotoML/

Reproducible Software

Orchard View Room, Discovery Building

This short course is teaching tools and practices for producing and sharing quality, sustainable and FAIR (Findable, Accessible, Interoperable and Reusable) research software to support open and reproducible research. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-08-25-uwmadison-ReproducibleSoftware/

Reproducible Software

Orchard View Room, Discovery Building

This short course is teaching tools and practices for producing and sharing quality, sustainable and FAIR (Findable, Accessible, Interoperable and Reusable) research software to support open and reproducible research. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-08-25-uwmadison-ReproducibleSoftware/

Reproducible Software

Orchard View Room, Discovery Building

This short course is teaching tools and practices for producing and sharing quality, sustainable and FAIR (Findable, Accessible, Interoperable and Reusable) research software to support open and reproducible research. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-08-25-uwmadison-ReproducibleSoftware/

Reproducible Software

Orchard View Room, Discovery Building

This short course is teaching tools and practices for producing and sharing quality, sustainable and FAIR (Findable, Accessible, Interoperable and Reusable) research software to support open and reproducible research. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-08-25-uwmadison-ReproducibleSoftware/