Pattern Recognition course project
• Iimplemented LDA and HDP probabilistic topic models (in python) on music dataset
• Implemented Kullback-Leibler divergence to compute the similarity of music-topic distribution we got from 2 probabilistic topic models.
• Made music recommendations based on KL and compared performance of 2 models.