Below are the slides from my talk at the Berlin Machine Learning Meetup group on July 8, 2014, giving an overview of word2vec, covering the CBOW learning task, hierarchical softmax and negative sampling.

## Maximum Likelihood Estimation for Non-negative Matrix Factorisation and the generalised Kullback-Leibler divergence

In response to my own question at Cross Validated.