Machine Learning at Coursera: Week 9

Anomaly Detection


Density Estimation

Anomaly Detection

Gaussian distribution

  • e.g. Aircrafts engines features: heat generated, vibration intensity
  • e.g. servers: memory usage, cpu load, cpu load / network traffic

Building Anomaly Detection system
Developing and Evaluating
vs. Supervised Learning
What Features to Use

Multivariate Gaussian Distribution


Recommender Systems



Content Based Recommendations

  • r(i, j): 1 if user j has rated movie i
  • y(i, j): rating user j to movie i

Collaborative Filtering

  • Symmetry breaking

Low-rank Matrix Factorization

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