#mixturemodels — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #mixturemodels, aggregated by home.social.
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Busy week, I have not much posted from #RSS2025. This will follow in the next days.
For now, I enjoyed chatting with Robert Grant and am reading his co-authored book "Bayesian #MetaAnalysis" which he kindly gave me a copy of 🙇
http://www.robertgrantstats.co.uk/bma-book.htmlI am always looking combinations of unusual and cross-cutting themes for teaching/ training, so I'll do a parallel read with #MixtureModels in this area: https://link.springer.com/chapter/10.1007/978-3-540-68651-4_7
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Busy week, I have not much posted from #RSS2025. This will follow in the next days.
For now, I enjoyed chatting with Robert Grant and am reading his co-authored book "Bayesian #MetaAnalysis" which he kindly gave me a copy of 🙇
http://www.robertgrantstats.co.uk/bma-book.htmlI am always looking combinations of unusual and cross-cutting themes for teaching/ training, so I'll do a parallel read with #MixtureModels in this area: https://link.springer.com/chapter/10.1007/978-3-540-68651-4_7
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Busy week, I have not much posted from #RSS2025. This will follow in the next days.
For now, I enjoyed chatting with Robert Grant and am reading his co-authored book "Bayesian #MetaAnalysis" which he kindly gave me a copy of 🙇
http://www.robertgrantstats.co.uk/bma-book.htmlI am always looking combinations of unusual and cross-cutting themes for teaching/ training, so I'll do a parallel read with #MixtureModels in this area: https://link.springer.com/chapter/10.1007/978-3-540-68651-4_7
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Busy week, I have not much posted from #RSS2025. This will follow in the next days.
For now, I enjoyed chatting with Robert Grant and am reading his co-authored book "Bayesian #MetaAnalysis" which he kindly gave me a copy of 🙇
http://www.robertgrantstats.co.uk/bma-book.htmlI am always looking combinations of unusual and cross-cutting themes for teaching/ training, so I'll do a parallel read with #MixtureModels in this area: https://link.springer.com/chapter/10.1007/978-3-540-68651-4_7
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Busy week, I have not much posted from #RSS2025. This will follow in the next days.
For now, I enjoyed chatting with Robert Grant and am reading his co-authored book "Bayesian #MetaAnalysis" which he kindly gave me a copy of 🙇
http://www.robertgrantstats.co.uk/bma-book.htmlI am always looking combinations of unusual and cross-cutting themes for teaching/ training, so I'll do a parallel read with #MixtureModels in this area: https://link.springer.com/chapter/10.1007/978-3-540-68651-4_7
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Bayesian Gaussian Mixture Models are a great way to improve the clustering performance of real world datasets.
Find out why and where you might want to use them, and how to implement them efficiently.:
#clustering #DataScience #MachineLearning #Bayesian #Gaussian #MixtureModels #BGMM #GMM #unsupervisedlearning