CS82: Statistical Learning
Prerequisites: Completion of CS01b or AP CS, or permission of instructor. Also requires Algebra II math experience.
Learn tools to model and understand complex datasets. In addition to statistics, this course teaches the tools and algorithms commonly used for tackling "Big Data" problems, such as multivariate regression, cross validation, k-nearest neighbors, support vector machines, and multilayer perceptrons.
Read the class notes here.
- Data Formats
- Descriptive Statistics
- Linear Regression
- Basis Functions
- Common problems with linear models
- Shrinkage, Ridge Regression
- Cross Validation, Dimensionality Reduction
- Classification: Logistic Regression
- Old Homework Assignments