ZARZA We are Zarza, the prestigious firm behind major projects in information technology.
![[14] Been Kim - Interactive and Interpretable Machine Learning Models](https://i1.sndcdn.com/avatars-yacRoaYGngfNlrm8-gSAE7A-original.jpg){kind=avatar}
Listen "[14] Been Kim - Interactive and Interpretable Machine Learning Models"
Episode Synopsis
Been Kim is a Research Scientist at Google Brain. Her research focuses on designing high-performance machine learning methods that make sense to humans.
Been's PhD thesis is titled "Interactive and Interpretable Machine Learning Models for Human Machine Collaboration", which she completed in 2015 at MIT. We discuss her work on interpretability, including her work in the thesis on the Bayesian Case Model and its interactive version, as well as connections with her subsequent work on black-box interpretability methods that are used in many real-world applications.
Episode notes: https://cs.nyu.edu/~welleck/episode14.html
Follow the Thesis Review (@thesisreview) and Sean Welleck (@wellecks) on Twitter, and find out more info about the show at https://cs.nyu.edu/~welleck/podcast.html
Support The Thesis Review at www.buymeacoffee.com/thesisreview
Been's PhD thesis is titled "Interactive and Interpretable Machine Learning Models for Human Machine Collaboration", which she completed in 2015 at MIT. We discuss her work on interpretability, including her work in the thesis on the Bayesian Case Model and its interactive version, as well as connections with her subsequent work on black-box interpretability methods that are used in many real-world applications.
Episode notes: https://cs.nyu.edu/~welleck/episode14.html
Follow the Thesis Review (@thesisreview) and Sean Welleck (@wellecks) on Twitter, and find out more info about the show at https://cs.nyu.edu/~welleck/podcast.html
Support The Thesis Review at www.buymeacoffee.com/thesisreview
In God we trust