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
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