• Lecture1 (week1): Introduction
• Lecture2 (week1): Linear Regression with One Variable
• Lecture3 (week1): Linear Algebra Review
• Lecture4 (week2): Linear Regression with Multiple Variables
• Lecture5 (week2): Octave/Matlab Tutorial
• Lecture6 (week3): Logistic Regression
• Lecture7 (week3): Regularization
• Lecture8 (week4): Neural Networks: Representation
• Lecture9 (week5): Neural Networks: Learning
• Lecture10 (week6): Advice for Applying Machine Learning
• Lecture11 (week6): Machine Learning System Design
• Lecture12 (week7): Support Vector Machines
• Lecture13 (week8): Unsupervised Learning
• Lecture14 (week8): Dimensionality Reduction
• Lecture15 (week9): Anomaly Detection
• Lecture16 (week9): Recommender Systems
• Lecture17 (week10): Large Scale Machine Learning
• Lecture18 (week11): Application Example: Photo OCR