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

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