The document discusses using two machine learning models - gradient boosted machines (GBM) and logistic regression (GLM) - to predict movie ratings and recommend movies to watch based on demographic data from the MovieLens dataset. It compares the performance of the two models and finds that GBM has a lower error rate. It then provides an example of how similar audience modeling and machine learning techniques are used at an advertising company to target online ads.