CS480/680 Lecture 7: Mixture of Gaussians video
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CS480/680 Lecture 7: Mixture of Gaussians
CS480/680 Lecture 6: EM and mixture models (Guojun Zhang)
CS480/680 Lecture 12: Gaussian Processes
CS480/680 Lecture 5: Statistical Linear Regression
CS480/680 Lecture 6: Kaggle datasets and competitions
CS480/680 Lecture 15: Deep neural networks
CS480/680 Lecture 8: Logistic regression and generalized linear models
CS480/680 Lecture 6: Model compression for NLP (Ashutosh Adhikari)
Gaussian Mixture Models (GMM) Explained
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