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!

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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

🎵 Music (intro and outro): Dakar Flow - Carmen María and Edu Espinal

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🔗 Links:

#AICoffeeBreak #MsCoffeeBean #UMAP #MachineLearning #research #AI

[lelandmcinnes]

Thanks for this -- it is a very nice short succinct description (with good visuals) that still manages to capture all the important core ideas. I'll be sure to recommend this to people looking for a quick introduction to UMAP.

[ShubhamYadav-xrtw]

I didn't know about this before! Thanks for this video Letitia!

[CodeEmporium]

This is really good. Absolutely love the simplicity 👍

[Shinigami]

I have seen and 'interpreted' so many UMAP plots and have not understood its utility until today. Thank you.

[denlogv]

Great work, Letitia! Needed this kind of introduction to UMAP :) And thanks for the links!

[dzanaga]

Thanks for making this clear and entertaining! I love the coffee bean 😂

[bosepukur]

didnot know about babyplot...thanks for sharing !

[Stephanus]

1st video i saw. Loved it. Subscribed.

[gurudevilangovan]

2 videos in and I’m already a fan of this channel. Cool stuff! 😎

[fleurvanille]

I wish you are the teacher of all subjects in the world! Many thanks

[dexterdev]

wow! that is a very well dimensionally reduced version of UMAP algo

[willsmithorg]

Thanks. I'd never heard of UMAP. Now I'll definitely be trying it as a replacement the next time I reach for PCA.

[ehtax]

very fun and educative explanation of a difficult method! keep the vids coming ms coffeebean!!

[ImbaFerkelchen]

Hey Letitia, really amazing Video on UMAP. Love your easy to follow explanations :D Keep up the good work

[capcloud]

Love it, thanks Ms. Coffee and Letitia!

[damp]

Fantastic! Such a good explanation, and thanks for the babyplot tip. Awesome channel!!!

[emanuelgerber]

Thanks for making this video! Very helpful

[rohaangeorgen]

Thank you for explaining it wonderfully 😊

[老师你好-ct]

Find a great channel! Thanks for sharing

[arminrose]

This is really fantastic stuff! Thanks for teaching it in such an easy-to-grasp way. I must admit I didn't manage the original paper, since I am "just" a biologist. But this video helped a lot.
I would have a question: I wanted to project the phenological similarity of animals at certain stations, to see which stations were most similar in that respect. For each day at each station there is a value of presence or absence of a certain species. Obviously there is also temporal autocorrelation involved here. My first try with UMAP gave a very reasonable result, but I am unsure if is a valid method for my purposes. What do you think, Letitia or others?