====== Notes on Andrew Ng ======

Online Course, Coursera, //Machine Learning//, Stanford University, https://www.coursera.org/learn/machine-learning

[[https://www.coursera.org/learn/machine-learning/lecture/CEXN0/vectorization-low-rank-matrix-factorization | Vectorization: Low Rank Matrix Factorization]]
Contents
  * Week 1
    * Introduction
    * Linear Regression with One Variable
    * Linear Algebra Review
  * Week 2
    * Linear Regression with Multiple Variables
    * Octave/Matlab Tutorial
  * Week 3
    * Logistic Regression
    * Regularization
  * Week 4
    * Neural Networks: Representation
  * Week 5
    * Neural Networks: Learning
  * Week 6
    * Advice for Applying Machine Learning
    * Machine Learning System Design
  * Week 7
    * Support Vector Machines
  * Week 8
    * Unsupervised Learning
    * Dimensionality Reduction
    * Principal Components Analysis
  * Week 9
    * Anomaly Detection
    * Recommender Systems
  * Week 10
    * Large Scale Machine Learning
  * Week 11
    * Application Example: Photo OCR