UMAP explained | The best dimensionality reduction?

UMAP explained! The great dimensionality reduction algorithm in one video with a lot of visualizations and a little code. Uniform Manifold Approximation and Projection for all! ➡️ AI Coffee Break Merch! 🛍️ https://aicoffeebreak.creator-spring.com/ 📺 PCA video: https://youtu.be/3AUfWllnO7c 📺 Curse of dimensionality video: https://youtu.be/4v7ngaiFdp4 💻 Babyplots interactive 3D visualization in R, Python, Javascript with PowerPoint Add-in! Check it out at https://bp.bleb.li/ ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🔥 Optionally, pay us a coffee to boost our Coffee Bean production! ☕ Patreon: https://www.patreon.com/AICoffeeBreak Ko-fi: https://ko-fi.com/aicoffeebreak ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ Outline: * 00:00 UMAP intro * 01:31 Graph construction * 04:49 Graph projection * 05:48 UMAP vs. t-SNE visualized * 07:31 Code * 08:12 Babyplots 📚 Coenen, Pearce | Google Pair blog: https://pair-code.github.io/understanding-umap/ 📄 UMAP paper: McInnes, L., Healy, J., & Melville, J. (2018). Umap: Uniform manifold approximation and projection for dimension reduction. https://arxiv.org/abs/1802.03426 📺 Leland McInnes talk  @enthought : https://youtu.be/nq6iPZVUxZU 🎵 Music (intro and outro): Dakar Flow - Carmen María and Edu Espinal ------------------------------- 🔗 Links: YouTube: https://www.youtube.com/AICoffeeBreak Twitter: https://twitter.com/AICoffeeBreak Reddit: https://www.reddit.com/r/AICoffeeBreak/ #AICoffeeBreak #MsCoffeeBean #UMAP #MachineLearning #research #AI