Introduction to Machine Learning - 11 - Manifold learning and t-SNE

Greetings from Spain

what an amazing explanations.......................well done............BRAVO!

Amazingly explained, It's such a great resource.

Beautiful explanations!

Great explanation with both details and good examples

So well explained! The best video resource I have seen on t-SNE so far!

It's like your cup when u add the coffee powder into water

Top quality lecture, thanks for sharing

Respect!

Very good lesson

Where can we find lecture notes?

Amazing! Super interesting and understandable!

amazing content

Amazing Lecture, very well explained! Thank you for sharing!

Incredibly explained. Congratulations!

Excellent talk with spot on visuals and explanations. Thanks!

This video is the bees knees

It is an amazing course, worth the time to watch and learn from it.

Wonderful job. Really enjoy watching this.

Awesome explanations. Thank you very much.

Great lesson.
How can you use t-SNE not just for visualization but also for classification?

Does t-SNE take into account that some variables are more related with the formation of the cluster and other just add noise?
I mean, in some moedls you can calculate the p-value and the SHAP for each variable. Can you get this kind of information here?

Bravo! Thank you very much.

Amazing!

Fabulous video! This was really helpful, thank you!

Worth every second. You are a blessing to humanity.

Excellent lecture, thanks

amazing, thx.

Amazing course with great vizualisations ! thank you very much

Thank you for your awesome explanation and illustrations nive thank you very much

how can one get good results with PCA init as don't we lose valuable non-linear information?

Thank you for this course!

amazing lecture. Please post more videos.

Absolutely amazing video course. Especially after looking at other sources I notice how valuable this is. Every video achieves to combine the intuition and math in a concise was.
I recommend the videos to anyone who wants to learn about ML.

Thanks a lot for greay content

The best video on this topic I have found so far by a large margin. Excellent work!

Cool explanation and visualizations!

Excellent presentation