Machine Learning

by Andrew Ng, Stanford University, Coursera

Week 1

• Videos: Introduction
• Quiz: Introduction
• Videos: Linear Regression with One Variable
• Quiz: Linear Regression with One Variable

Week 2

• Videos: Linear Regression with Multiple Variables
• Quiz: Linear Regression with Multiple Variables
• Videos: Octave/Matlab Tutorial
• Quiz: Octave/Matlab Tutorial
• Programming Assignment: Linear Regression

Week 3

• Videos: Logistic Regression
• Quiz: Logistic Regression
• Videos: Regularization
• Quiz: Regularization
• Programming Assignment: Logistic Regression

Week 4

• Videos: Neural Networks: Representation
• Quiz: Neural Networks: Representation
• Programming Assignment: Multi-class Classification and Neural Networks

Week 5

• Videos: Neural Networks: Learning
• Quiz: Neural Networks: Learning
• Programming Assignment: Neural Network Learning

Week 6

• Videos: Advice for Applying Machine Learning
• Quiz: Advice for Applying Machine Learning
• Videos: Programming Assignment: Regularized Linear Regression and Bias/Variance
• Machine Learning System Design
• Quiz: Machine Learning System Design

Week 7

• Videos: Support Vector Machines
• Quiz: Support Vector Machines
• Programming Assignment: Support Vector Machines

Week 8

• Videos: Unsupervised Learning
• Quiz: Unsupervised Learning
• Videos: Dimensionality Reduction
• Quiz: Principal Component Analysis
• Programming Assignment: K-Means Clustering and PCA

Week 9

• Videos: Anomaly Detection
• Quiz: Anomaly Detection
• Videos: Recommender Systems
• Quiz: Recommender Systems
• Programming Assignment: Anomaly Detection and Recommender Systems

Week 10

• Videos: Large Scale Machine Learning
• Quiz: Large Scale Machine Learning

Week 11

• Videos: Application Example: Photo OCR
• Quiz: Application: Photo OCR