Dimensionality Reduction Tutorial: PCA & UMAP
Details
Speaker Bio - Anabel Ruggiero (she/her)
Anabel is a computational engineer whose interests lie in the intersection of applied mathematics and software engineering. She received her doctorate in Chemical Engineering at Oklahoma State University, where she conducted research in the field of computational biosystems. Her current research work is NNDescent.cpp, a cache efficient and distributable reimplementation of PyNNDescent. In December 2021, she joined Stellar Science as a computational engineer.
Workshop details
This workshop is a tutorial on dimensionality reduction. Dimensionality reduction is a useful technique for data visualization and as an initial layer of a model. This makes it a powerful tool in a data scientist's arsenal. Anabel will go over the basics of the math and algorithms behind PCA, tSNE, and UMAP. Most of the time will be devoted to an R example implementing these algorithms.
We recommend that participants have some familiarity with the basics of linear algebra and statistics, and an understanding of matrices, linear transformations, and statistical distributions.
Date and time: Feb 23, 2022 at 6:00pm
Zoom link: RSVP to view the link (password follows `?pwd=` in the link)
If you have trouble getting into the meeting, please message Jasmine
See you there!
Yuka, Jasmine and Lisa
IMPORTANT**
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Have your computer and a steady internet connection ready
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If this is your first R-Ladies event, please take a moment to review our R-Ladies Global code of conduct: https://github.com/rladies/.github/blob/master/CODE_OF_CONDUCT.md
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Who is allowed to attend the workshop?
Everyone is welcome to join us at our events and to be a part of our mission to empower gender minorities with the skills and knowledge to code in one of the top programming languages in data science, which is R.
To fulfill this mission we do ask participants to respect a focus on the encouragement and support for women and non-binary people during our events.
