Orchard View Room, Discovery Building
Introduction to Machine Learning
Orchard View Room, Discovery BuildingGet 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 BuildingGet 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/
