statistical_machine_learning Assignments of lecture 1. linear discriminant analysis 2.asymptotic normality of ML estimated variance of normal distribution 3.projection pursuit regression A comparison between s^4 and logcosh(s) 4.EM algorithm 5.Gaussian kernel density estimation 6.K-nearest neighbor 7. Probabilistic Matrix Factorization using Variational Bayesian Inference (using stan) Reference: Y. J. Lim and Y. W. Teh. Variational Bayesian approach to movie rating prediction. In: Proceedings of KDD cup and workshop. Vol. 7. Citeseer. 2007, pp.15--21. Julia implementation