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Supervised Machine Learning

§ Type of problems

(Read Weapons of Math Destruction)

§ Cost function

§ Linear regression

§ Metrics for regression problems

§ Features and Polynomial Regression

§ Classification (Logistic Regression)

https://en.wikipedia.org/wiki/Logistic_regression

§ Hyperplan of decision

§ Function Cost

§ One-vs-All

§ One vs One

§ Sets

§ ECOC (Error Correcting output code)

§ Confusion Matrix

§ Overfitting and Underfitting

§ Double-Descent Model

§ Regularization

§ One-hot enconder