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

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Supervised Learning

Polynomial Regression

Normal Equation

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