---
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]]

