t-distributed Stochastic Neighbor Embedding (t-SNE) | Dimensionality Reduction Techniques (4/5)

[@DeepFindr]

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[@王恺风]

I really enjoy this video! It is so concise, comprehensive and beautiful! And thanks a lot for so many useful links for further learning.

[@chemicalengineeringfriends217]

Great videos! Looking forward to other parts :)

[@clairenajjuuko7664]

Great video. looking forward to the UMAP video. Will you also be doing something on FAMD?

[@DeepFindr]

Thanks! So far only UMAP is planned but maybe more methods will be added in the future :)

[@maheshsonawane8737]

It is magnificent video, after understand math and concept behind TSNE, then u can clear ur concept here thoroughly here in this video. 🌟🌟🌟🌟

[@lucapalese475]

Really nice! I will read those papers , I guess the backprop is more complex with the t-distribution

[@DeepFindr]

Actually it should be easier because the distribution has an easier function