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Курс: Advanced Linear Models for Data Science 1: Least Squares. Чтобы вернуться, нажмите здесь.
- Introduction
- Welcome to the class
- Course textbook
- Grading
- In this module
- Matrix derivatives
- Coding example
- Centering by matrix multiplication
- Coding example
- Variance via matrix multiplication
- Coding example
- Before you begin
- Regression through the origin
- Centering first
- Coding example
- Before you begin
- Connection with linear regression
- Coding example
- Fitted values and residuals
- Before you begin
- Least squares
- Coding example
- Prediction
- Coding example
- Residuals
- Coding example
- Generalizations
- Generalizations
- Generalizations example
- Before you begin
- Least squares
- Coding example
- Second derivation of least squares
- Projections
- Third derivation of least squares
- Coding example
- Basic examples of design matrices and fits
- Group effects
- Change of parameterization
- ANCOVA
- Bases, introduction
- Bases 2, Fourier
- Bases 3, SVDs
- Bases, coding example
- Introduction to residuals
- Partitioning variability