Unsupervised Clustering, Expectation Maximization, Gaussian Mixture Model, K Means Clustering, Tensorflow Probability.
EM algorithm. In the next article of the series, I will derive the proofs for convergence of EM, which will be used in explanation of variational inference. References: Chapter 9 (Mixture models and EM) from the book Pattern Recognition and Machine Learning Christopher M Bishop. Week 2 of course