R25 VOICE Section 2 - General Machine Learning Papers

Papers discussed in this Section 2 podcast:

  • Domingos, Pedro. 2012. “A Few Useful Things to Know about Machine Learning.” Communications of the ACM 55 (10):78.
  • Luo W, Phung D, Tran T, Gupta S, Rana S, Karmakar C, Shilton A, Yearwood J, Dimitrova N, Ho TB, Venkatesh S, Berk M “Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View” J Med Internet Res 2016;18(12):e323 DOI: 10.2196/jmir.5870

Podcast Contents:

  • Generalization
  • Overfitting
  • Feature Engineering
  • Improving model performance
    • More data
    • Better algorithms
    • Ensembling
  • Review of checklists for writing machine learning papers.
  • Student questions
    • Knowledge vs Data
    • JMIR reputation
    • Informatics journals and computer science proceedings
    • Sample size for good classifier performance.