Hello EVOLDIR members

This seminar offers practical skills for simplifying complex datasets,
which can significantly enhance your research capabilities. Dimensionality
Reduction with UMAP and Beyond 2.0 led by Nikolay Oskolkov (Lund
University) is now available as an on-demand streaming seminar. This
seminar explores dimensionality reduction techniques like UMAP, PCA, and
tSNE, crucial for managing and interpreting large multivariate datasets
common in evolutionary and genetic research. Participants will gain
practical skills in applying these methods using R and Python, enabling
more efficient analysis of complex genomic, phenotypic, or population
data. Learning these techniques will help researchers uncover novel
insights and improve the accuracy of their ongoing and future projects
in evolution and genetics.

Access this seminar
(https://instats.org/seminar/dimensionality-reduction-with-umap-and-b-1)
on demand at your own pace, and please pass this to colleagues and
students who may find it useful!

Best wishes

Michael Zyphur
Professor and Director
Instats | instats.org

mzyphur@instats.org

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golding@mcmaster.ca)