Machine Learning - Stanford - Coursera
1.0.0
1.0.0
  • Acknowledgements
  • Introduction
  • Linear Algebra Review
  • Types of Machine Learning
  • Supervised Learning
    • Linear Regression
      • Linear Regression in One Variable
        • Cost Function
        • Gradient Descent
      • Multivariate Linear Regression
        • Cost Function
        • Gradient Descent
        • Feature Scaling
        • Mean Normalization
        • Choosing the Learning Rate α
    • Polynomial Regression
      • Normal Equation
      • Gradient Descent vs. Normal Equation
Powered by GitBook
On this page

Was this helpful?

Supervised Learning

As discussed earlier, supervised learning is a technique where the target labels are known in advance. This chapter discusses the supervised learning techniques that were covered in the online Machine Learning course, including:

  • Linear Regression

  • Polynomial Regression

  • Logistic Regression

  • Neural Networks

  • SVMs

PreviousTypes of Machine LearningNextLinear Regression

Last updated 5 years ago

Was this helpful?