Course Outline

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