Gaussian Mixture Models for Clustering

[@emineguven3565]

Thanks a lot for sharing this. It helps me a lot to understand the concept of mixture models.

[@stewpatterson1369]

best video i've seen on this. great visuals & explanation

[@ahsin.shabbir]

this is a really good explanation. Where are the rest of the videos in the series?

[@vineethm6930]

Very well presented, really got all my concepts clear 💯

[@manthanguptaa]

Bhai mujhe iska samajh nhi Aaya

[@tomc3213]

This is gold, thank you so much

[@ogonkishi6403]

Thanks! Helped a lot! Especially the visualisations!

[@chris-dx6oh]

Great video

[@LinaNielsen-n8g]

Why are the given weights for the distributions, are not really showcasing the distributions on the graph. I mean i would choose π1 = 45, π2 = 35, π3 = 20

[@nehadureja]

Great explanation. Thank you for the amazing work :)

[@hoavu382]

The video sound is pretty good, beyond my imagination

[@MLDawn]

you could plot 3D Gaussians, with their contours projected on the RGP plains.

[@Noah-zp2fn]

thanks a lot! explanation was crystal clear!

[@riasataliistiaque5206]

At around 6:05, the sigma_k values, they're all the same 3x3 covariance matrices right? sigma_1 == sigma_2 == sigma_3?

[@SPeeDKiLL45]

beautiful explanation

[@ZinzinsIA]

Great explanation, thank you very much !

[@bluebox6307]

Very well explained! Thank you very much!!

[@gabrielamartinezl.2944]

Excellent video! Any about Bernoulli Mixture Models?

[@piyushgupta809]

Great explanation

[@NeilDeshpande313]

Thank you so much for this

[@notarandomdude6094]

That's great thanks

[@MLDawn]

very nice tutorial. Thanks a lot.

[@TammyKoldaMathsciAI]

Nice, Emily!

[@rasoulmesghali]

very well explanation

[@bwessellangan]

Hey EF - randomly found this - hope all is well! Shout out to MITLL

[@DrSugarrr]

This is a great video, thanks a lot for all the details! I was wondering, in conclusion, how would the program decides if it's a sunset, a tree or a cloud picture? I am guessing it would calculate p(xi | zi=k, µk, σk) for k = 1,2,3, weighted by πk, and then pic the category with the highest probability?

[@xiujiesong3095]

thx! it is very helpful.

[@thirdanonymousacc]

Thank you!

[@thirdanonymousacc]

This is just what I needed. I'm a student that finds it very difficult to find materials that suit me (balance of intuition/ mathematical detail, pace etc.). But this type of teaching of yours works wonders for me. I will watch anything you're willing to teach :)

[@PG-iq6zv]

great video thx!

[@franklinsv1997]

Great Video!! very clear explanation. Does this have a part two where it is explained how it is applied using EM algorithm?

[@MachineLearningTV]

You may search in Coursera!

[@abhinaba__saha]

Amazing

[@avamarie7406]

macam mana nak buat?

[@Malvici.]

Great!!!

[@sarthaktiwari1889]

Very well explained!

[@shashankkumar7920]

Why I m seeing a Gaussian curve shape in her hair😂...btw great video thank you so much

[@muhammadsarimmehdi]

you didn't explain what those histograms are in the beginning? Are they RGB histograms? What you started explaining right after made no sense because you didn't clarify how you got these histograms

[@MeenaKumari-sl5ez]

She did explain. those histograms are the distributions of the blue channel of the images in the 3 clusters.