• Dana-Farber Data Science Podcast

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Dana-Farber Data Science Podcast

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  • Résumé

  • Our Data Science Zoominars feature interactive conversation with #datascience experts and a live Q+A session moderated by faculty at the Department of Data Science at Dana-Farber Cancer Institute.
    Copyright © 2021 Dana-Farber Cancer Institute
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Mathématiques Science
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    Épisodes
    • Daniela Witten, PhD - The Role of Statistical Learning in Applied Statistics

      Daniela Witten, PhD - The Role of Statistical Learning in Applied Statistics
      May 16 2022
      What is machine learning? What distinguishes it from statistics? Daniela Witten, PhD is Professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford Endowed Chair in Mathematical Statistics. Dr. Witten develops statistical machine learning methods for high-dimensional data, with a focus on unsupervised learning. Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.
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      38 min
    • Elisabeth Bik, PhD - The Prevalence of Inappropriate Image Duplication in Research Publications

      Elisabeth Bik, PhD - The Prevalence of Inappropriate Image Duplication in Research Publications
      May 15 2022
      How prevalent is image alteration in biomedical research publications? What counts as manipulation? Elisabeth Bik, PhD, Principal at Harbers Bik, LLC, is a science consultant and microbiome, science integrity and image forensics expert. Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.
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      39 min
    • Jeff Leek, PhD - Teaching Data Science to the Masses

      Jeff Leek, PhD - Teaching Data Science to the Masses
      May 15 2022
      How should we teach data science? Jeff Leek, PhD is a Professor at the Johns Hopkins School of Public Health, co-editor of Simply Statistics, co-director of the Johns Hopkins Data Science Lab and co-founder of Problem Forward Data Science. Our Data Science Zoominars feature interactive conversation with data science experts and a Q+A session moderated by Rafael A. Irizarry, PhD, Chair, Department of Data Science at Dana-Farber Cancer Institute.
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      37 min

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