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2 events,
Introduction to Machine Learning
Introduction to Machine Learning
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
Introduction to Machine Learning
https://uw-madison-datascience.github.io/2025-07-30-uwmadison-IntrotoML/
1 event,
Introduction to Machine Learning
Introduction to Machine Learning
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/