- π Hi, Iβm Laurel
- π Background: M.S. (IP) from the University of Utah, B.A. in Mathematics from UC Berkeley, Caltech Cosmology Research Fellow, AWS, Conexus AI, Etc., Etc.
- π Current Interests: ML-forward time-series data analysis (specifically EEG), stochastics, logic & computability, equitable access to STEM education, space.
- π Current Roles: STARS Lab
- π¨ Current Passion Projects: EVT-based EEG analysis, exploring quantum machine learning, randomized NLA for signal processing.
- π« Email: laurelweber [at] berkeley [dot] edu
π
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intro-to-ML
intro-to-ML PublicCollection of notebooks from TEDA 1036 - An Introduction to Machine Learning.
Jupyter Notebook
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