[14] Been Kim - Interactive and Interpretable Machine Learning Models
The Thesis Review
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Introduction
Bean Kim is a research scientist at Google Brain. Her work focuses on designing high-performance machine learning methods that make sense to humans. Bean's PhD thesis is titled Interactive and Interpreterable Machine Learning Models for Human Machine Collaboration. Thesis Review is available on SoundCloud, Apple Podcasts, Google Podcasts, and Spotify.
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