CS229 MIDTERM
Stanford course with 1 lecture notes.
Other Notes
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