Notes-ML-AndrewNg/notes/week2.md

• 4 Linear Regression with Multiple Variables
• • 4.1 Multiple Features
  • 4.2 Gradient Descent for Multiple Variables
  • 4.3 Gradient Descent in Practice I - Feature Scaling
  • 4.4 Gradient Descent in Practice II - Learning Rate
  • 4.5 Features and Polynomial Regression
  • 4.6 Normal Equation
  • 4.7 Normal Equation Noninvertibility
  • 4.8 Working on and Submitting Programming Assignments
• 5 Octave Matlab Tutorial
• • 5.1 Basic Operations
  • 5.2 Moving Data Around
  • 5.3 Computing on Data
  • 5.4 Plotting Data
  • 5.5 Control Statements_ for, while, if statement
  • 5.6 Vectorization

4 Linear Regression with Multiple Variables

4.1 Multiple Features

4.2 Gradient Descent for Multiple Variables

4.3 Gradient Descent in Practice I - Feature Scaling

4.4 Gradient Descent in Practice II - Learning Rate

4.5 Features and Polynomial Regression

4.6 Normal Equation

4.7 Normal Equation Noninvertibility

4.8 Working on and Submitting Programming Assignments

5 Octave Matlab Tutorial

5.1 Basic Operations

5.2 Moving Data Around

5.3 Computing on Data

5.4 Plotting Data

5.5 Control Statements_ for, while, if statement

5.6 Vectorization