Channel: StatQuest with Josh Starmer

Category: Education

Tags: josh starmerdata sciencemachine learningstatqueststatistics

Description: UMAP is one of the most popular dimension-reductions algorithms and this StatQuest walks you through UMAP, one step at a time, so that you will have a solid understanding of how UMAP works. NOTE: This StatQuest is based on the original UMAP manuscript... arxiv.org/pdf/1802.03426.pdf ...specifically Appendix C, From t-SNE to UMAP, which is also here... jlmelville.github.io/uwot/umap-for-tsne.html ...and the UMAP user documentation... umap-learn.readthedocs.io/en/latest/parameters.html For a complete index of all the StatQuest videos, check out... app.learney.me/maps/StatQuest ...or... statquest.org/video-index If you'd like to support StatQuest, please consider... Buying my book, The StatQuest Illustrated Guide to Machine Learning: PDF - statquest.gumroad.com/l/wvtmc Paperback - amazon.com/dp/B09ZCKR4H6 Kindle eBook - amazon.com/dp/B09ZG79HXC Patreon: patreon.com/statquest ...or... YouTube Membership: youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...a cool StatQuest t-shirt or sweatshirt: shop.spreadshirt.com/statquest-with-josh-starmer ...buying one or two of my songs (or go large and get a whole album!) joshuastarmer.bandcamp.com ...or just donating to StatQuest! paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: twitter.com/joshuastarmer 0:00 Awesome song and introduction 1:07 Motivation for UMAP 2:55 UMAP main ideas 5:22 Calculating high-dimensional similarity scores 10:41 Getting started with the low-dimensional graph 12:37 Calculating low-dimensional similarity scores and moving points 15:49 UMAP vs t-SNE #StatQuest #UMAP #DimensionReduction