Unsupervised Learning: Mixture Models

WEBSITE: databookuw.com
This lecture highlights one of the most important unsupervised learning algorithms: mixture models. Typically the mixtures are Gaussians and are used to fit the probability distributions of the data.

[@tomhas4442]

This should have way more views. Very high quality, easy to follow, practice-oriented. Thanks 🙏

[@brittnyfreeman3650]

Professor Kurtz...you are such a Boss!!! 👍

[@donaghegan5170]

Great Video ! Explores the math in a simple way

[@alipourramezanfard2393]

Great explanation, and a great book.

[@InkDealz]

Great explanation! Very intuitive. Thanks!

[@ErnestoMendoza-oo1fq]

I have been reading the book and following the videos. It is excellent material. However, it could be even better if you have altealternative videos explaining the Python code.

[@shawhin-music]

Very helpful, cleared things up. Thanks!

[@ashimagarg6958]

Amazing explanation. Thanks!

[@xilingsheng686]

thanks you Prof. You are really good . very inspiring!

[@muhammadneanaa1611]

Thanks sir

[@sandeepns2709]

sir, how to determine which distribuition ?