What is Gaussian Mixture Models?

Soft clustering with probabilistic assignments. Gaussian Mixture Models is a intermediate machine learning algorithm used for discovering patterns in unlabeled data. Before learning Gaussian Mixture Models, you should understand: distributions, mle. Real-world applications include: Customer segmentation, Image segmentation, Anomaly detection. This builds on foundational concepts and requires some background knowledge.