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--- title: "CS229 MIDTERM" type: course-overview source-count: 1 status: active confidence: high --- # CS229 MIDTERM Stanford course with 1 lecture notes. ## Other Notes - [SU-CS229 Midterm Sheet](../raw/course/cs229_midterm/kbhsu_cs229_midterm_sheet.md) ## Key Topics Referenced - [[Bias Variance Tradeoff]] - [[Boosting]] - [[Decision Tree]] - [[Expectation Maximization]] - [[Exponential Family]] - [[Gaussian Mixture Model]] - [[Generalized Linear Models]] - [[Gradient Descent]] - [[K Means Clustering]] - [[Kernel Trick]] - [[Least Squares Error]] - [[Linear Predictor]] - [[Logistic Regression]] - [[Matrix Calculus]] - [[Naive Bayeee]] - [[Newton S Method]] - [[Nonlinear Linear Regression]] - [[Regularization]] - [[Su Cs229 Distribution Sheet]] - [[Supervised Learning]]