Machine Learning System Design
Recommendation System, pros & cons for different methods
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Model performance optimization
bias vs variance
cost / loss function
- naive Bayes 
- Linear / Logistic Regression 
- Random Forest / Decision Tree 
optimization function
Feature Collections and Selections
Metrics
- For classification 
- For regression 
- accuracy 
- confusion matrix 
- recall 
- precision 
- F score 
- ROC, AUC 
- Multi-class classification 
Unbalanced Data
Bias - Variance
- Andrew's class 
Miss labeled Semi supervised learning
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