Machine Learning - Stanford - Coursera

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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Normal Equation

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