Machine Learning

机器学习

Stanford University

  1. Linear Regression with Multiple Variables

  2. Octave/Matlab Tutorial

  3. Logistic Regression

  4. Regularization

  5. Neural Networks: Representation

  6. Neural Networks: Learning

  7. Advice for Applying Machine Learning

  8. Machine Learning System Design

  9. Support Vector Machines

  10. Unsupervised Learning

  11. Dimensionality Reduction

  12. Anomaly Detection

  13. Recommender Systems

  14. Large Scale Machine Learning

  15. Application Example: Photo OCR

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