Rebecca Bilbro
Chief Data Scientist at Scikit-Yellowbrick
Dr. Rebecca Bilbro is a data scientist, Python and Go programmer, teacher, speaker, and author in Washington, DC. With a background in research and a focus on applied machine learning, she specializes mostly in NLP and visual diagnostics for machine learning. An active contributor to the OSS community, Rebecca enjoys collaborating with other developers on inclusive projects like Yellowbrick - a pure Python visualization package for machine learning that extends scikit-learn and Matplotlib to support model selection and diagnostics. In her spare time, you'll find her riding bikes with her family and practicing the ukulele.
Upcoming presentations
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Past presentations
Outside the Black Box
Visual Diagnostics for More Informed Machine Learning
Ironically, one of the most important insights into machine learning in the last decade may have been introduced in a paper not on deep learning or AI, but on databases! In their 2016 SIGMOD paper, Kumar et al. described machine learning as a search for the maximally performing “model selection triple” — i.e. the best combination of features, algorithm, and hyperparameters. “Model selection is ...
