Notes-ML-AndrewNg/notes/week3.md

• 6 Logistic Regression
• • 6.1 Classification
  • 6.2 Hypothesis Representation
  • 6.3 Decision Boundary
  • 6.4 Cost Function
  • 6.5 Simplified Cost Function and Gradient Descent
  • 6.6 Advanced Optimization
  • 6.7 Multiclass Classification_ One-vs-all
• 7 Regularization
• • 7.1 The Problem of Overfitting
  • 7.2 Cost Function
  • 7.3 Regularized Linear Regression
  • 7.4 Regularized Logistic Regression

6 Logistic Regression

6.1 Classification

6.2 Hypothesis Representation

6.3 Decision Boundary

6.4 Cost Function

6.5 Simplified Cost Function and Gradient Descent

6.6 Advanced Optimization

6.7 Multiclass Classification_ One-vs-all

7 Regularization

7.1 The Problem of Overfitting

7.2 Cost Function

7.3 Regularized Linear Regression

7.4 Regularized Logistic Regression