What is t-SNE(T-distributed Stochastic Neighborhood Embedding) Lecture 21@Applied AI Course

This is fantastic

@ appliedai Do we have course on reinforcement learning?

Your explanation is wonderful! Thank you so much!

This is very very helpful video. Cheers !

Wonderful explanation. Thanks 🙏

Did he mention that tsne was state of the art?

increase your volume , its too low

In this video, you said that t-SNE can choose to preserve either local or global structure by just changing one parameter. After having watched the entire t-SNE playlist, this is still unclear to me. I think t-SNE only maintains local structures because only the neighbourhood distances are preserved. What parameter did you mean (is it perplexity? *) and how does it preserve the global structure?

* If it's indeed perplexity, you did mention we can increase it to increase the size of our neighbourhood, but still, how does this preserve the global structure?

Waste of time.

Hi sir,
Is this algorithm still relevant in 2022 ? I am asking as this video was recorded in 2017

it just looked like an advertisement for t-sne , not an explanation