Latent Dirichlet Allocation (LDA) is a ML methods to analyse the unobserved variable (topic) based on the observed variables (words and documents). In this course, we will introduce topic models, mainly focusing on LDA and its application (with python). In chapter 2, we will touch the extensions of LDA model.
Really useful for my future research. Thanks, Xinwen!