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About |
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The UCSD ML blog is a forum for students, postdocs, and faculty from the greater UCSD community to share their exciting work and ideas. The majority of the content focuses on the intersection of theoretical and practical advances in machine learning, data science, and applied algorithms. The typical post will either be a technical (yet accessible) introduction to a recent research paper or a gentle exposition of an important technique in the area. We aim to release new posts approximately every week or two.
The editorial board consists of the following members:
with faculty advisor Rose Yu.
Former editorial board: Yao-Yuan Yang, Cyrus Rashtchian, with faculty advisor Kamalika Chaudhuri.
If you are affiliated with UCSD and interested in contributing to the blog, please send an mail to bozhao at ucsd dot edu and salvaruehling at gmail dot com, and copy roseyu at ucsd dot edu.
To receive email about new posts, please subscribe to the mailing list: https://mailman.ucsd.edu/mailman/listinfo/ucsd-ml-l.