15 Anomaly Detection

15.1 Problem Motivation

15.2 Gaussian Distribution

15.3 Algorithm

15.4 Developing and Evaluating an Anomaly Detection System

15.5 Anomaly Detection vs. Supervised Learning

15.6 Choosing What Features to Use

15.7 Multivariate Gaussian Distribution

15.8 Anomaly Detection using the Multivariate Gaussian Distribution

16 Recommender Systems

16.1 Problem Formulation

16.2 Content Based Recommendations

16.3 Collaborative Filtering

16.4 Collaborative Filtering Algorithm

16.5 Vectorization_ Low Rank Matrix Factorization

16.6 Implementational Detail_ Mean Normalization