Go to class.
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├── Lecture1.pdf ... Introduction
├── Lecture2.pdf ... Linear Regression with One Variable
├── Lecture3.pdf ... Linear Algebra Review
├── Lecture4.pdf ... Linear Regression with Multiple Variables
├── Lecture5.pdf ... Octave Tutorial
├── Lecture6.pdf ... Logistic Regression
├── Lecture7.pdf ... Regularization
├── Lecture8.pdf ... Neural Networks: Representation
├── Lecture9.pdf ... Neural Networks: Learning
├── Lecture10.pdf ... Advice for Applying Machine Learning
├── Lecture11.pdf ... Machine Learning System Design
├── Lecture12.pdf ... Support Vector Machines
├── Lecture13.pdf ... Clustering
├── Lecture14.pdf ... Dimensionality Reduction
├── Lecture15.pdf ... Anomaly Detection
├── Lecture16.pdf ... Recommender Systems
├── Lecture17.pdf ... Large Scale Machine Learning
├── Lecture18.pdf ... Application Example: Photo OCR
├── Lecture19.pdf ... Conclusion
├── ex1.pdf
├── ex2.pdf
├── ex3.pdf
├── ...
├── mlclass-ex1
├── mlclass-ex2
└── mlclass-ex3
├── ...