- Week 1 - Introduction
- Week 2 - Linear regression with multiple variables
- Week 3 - Logistic classification
- Week 4 - Neural networks representation
- Week 5 - Neural networks learning
- Week 6 - Applying ML
- Week 7 - Support vector machines
- Week 8 - Unsupervised learning
- Week 9 - Anomaly detection
- Week 10 - Large scale ML
- Week 11 - Application example: photo OCR