Unsupervised Learning: Mixture Models
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- Опубліковано 14 жов 2024
- 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.
This should have way more views. Very high quality, easy to follow, practice-oriented. Thanks 🙏
Great explanation, and a great book.
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.
Professor Kurtz...you are such a Boss!!! 👍
Very helpful, cleared things up. Thanks!
Great Video ! Explores the math in a simple way
Amazing explanation. Thanks!
Great explanation! Very intuitive. Thanks!
thanks you Prof. You are really good . very inspiring!
sir, how to determine which distribuition ?
Thanks sir