15 Anomaly Detection15.1 Problem Motivation15.2 Gaussian Distribution15.3 Algorithm15.4 Developing and Evaluating an Anomaly Detection System15.5 Anomaly Detection vs. Supervised Learning15.6 Choosing What Features to Use15.7 Multivariate Gaussian Distribution15.8 Anomaly Detection using the Multivariate Gaussian Distribution16 Recommender Systems16.1 Problem Formulation16.2 Content Based Recommendations16.3 Collaborative Filtering16.4 Collaborative Filtering Algorithm16.5 Vectorization_ Low Rank Matrix Factorization16.6 Implementational Detail_ Mean Normalization