Machine Learning System Design

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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