5. Regression

• 5.1. Linear Regression
  • 5.1.1. Univariate Linear Regression
    • 5.1.1.1. One Learning Examples at a Time
    • 5.1.1.2. Vectorization of the Learning Set
  • 5.1.2. Multivariate Linear Regression
    • 5.1.2.1. From 1 to \(n\) Features
    • 5.1.2.2. Extended Features
  • 5.1.3. Dealing with Overfitting using Regularization
  • 5.1.4. Analytical Solution for Linear Regression
  • 5.1.5. Linear Regression from Basic Principles
    • 5.1.5.1. A Statistical View on Regression
    • 5.1.5.2. Maximum Likelihood Estimator
  • 5.1.6. Exercises