Gaussian Mixture Models (GMM) Introduction to Gaussian Mixture Models (GMM) If you’ve ever wondered how machines identify patterns in seemingly chaotic data, Gaussian Mixture Models (GMMs) might just be the secret sauce! GMMs are a powerful statistical tool used to identify hidden subgroups within a dataset. In simpler terms, they help us see the different “flavors” of data that are mixed together, like identifying the different types of fruits in a fruit salad without knowing in advance what’s in it. Gaussian Mixture Models But why are GMMs so important? In the world of machine learning and data analysis, they provide a way to model complex, multi-modal distributions — think of them as a way to make sense of intricate data patterns that don’t fit neatly into one category. Let’s […]
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