Machine Learning By Stanford on Coursera

Instructor: Andrew Ng.

Index

Week	Links
Week 1	[Quizzes]
Week 2	[Quizzes] [Programming Assignment]
Week 3	[Quizzes] [Programming Assignment]
Week 4	[Quizzes] [Programming Assignment]
Week 5	[Quizzes] [Programming Assignment]

Week 1

Quizzes

• Introduction
• Linear Regression With One Variable
• Linear Algebra

Week 2

Quizzes

• Linear Regression With Multiple Variables
• Octave/Matlab Tutorial

Programming Exercises

• Questions and Explanation
• Exercise 1
  • Warm Up Exercise
  • Compute Cost for One Variable
  • Compute Cost For Multiple Variables
  • Gradient Descent For One Variable
  • Gradient Descent For Multiple Variables

Week 3

Quizzes

• Logistic Regression
• Regularization

Programming Exercises

• Questions
• Exercise 2
  • Sigmoid Function
  • Logistic Regression Cost
  • Logistic Regression Gradient
  • Regularized Logistic Regression Cost
  • Regularized Logistic Regression Gradient
  • Predict

Week 4

Quizzes

• Neural Networks: Representation

Programming Exercises

• Questions and Explanations
• Exercise 3
  • Logistic Regression Cost Function
  • One vs. All Multi Class Classifier
  • Predict one vs. all Multi Class Classifier
  • Neural Network Prediction Function

Week 5

Quizzes

• Neural Networks: Learning

Programming Exercises

• Questions and Expalanations
• Exercise 4
  • Feedforward and Cost Function
  • Regularized Cost Function
  • Compute Gradient of Sigmoid Function
  • Randomly Initialize Weights
  • Neural Network Gradient (Backpropagation)
  • Neural Network Cost Function
  • Regularized Gradient

Week 6

Quizzes

Programming Exercises