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.

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R25 VOICE Section 2 - General Machine Learning Papers is an episode from R25 VOICE by Yin Aphinyanaphongs.

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This episode was published on Jan 16, 2018.

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