Module 1 : Introduction
Lecture: Welcome to Machine Learning!
Lecture: Supervised Learning
Lecture: Unsupervised Learning
Module 2 : Linear Regression
Lecture: Model Representation
Lecture: Cost Function
Lecture: Cost Function - Intuition I
Lecture: Cost Function - Intuition II
Lecture: Gradient Descent
Lecture: Gradient Descent Intuition
Lecture: Gradient Descent For Linear Regression
Quiz: Linear Regression with One Variable
Module 3 : Classification
Lecture: Classification
Lecture: Hypothesis Representation
Lecture: Decision Boundary
Lecture: Cost Function
Lecture: Simplified Cost Function and Gradient Descent
Lecture: Advanced Optimization
Lecture: Multiclass Classification: One-vs-all
Quiz: Logistic Regression
Module 4 : Unsupervised Learning (Clustering)
Lecture: Unsupervised Learning: Introduction
Lecture: K-Means Algorithm
Lecture: Optimization Objective
Lecture: Random Initialization
Lecture: Choosing the Number of Clusters
Quiz: Unsupervised Learning