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.