Machine Learning

Neural Networks - Model Representation

Regularized Logistic Regression

Regularized Linear Regression

Regularization - Cost Function

The Problem of Overfitting

Multiclass Classification: One-vs-all

Advanced Optimization Algorithms & Concepts

Simplified Cost Function and Gradient Descent

Cost Function - Logistic Regression

Decision Boundary

Logistic Regression - Hypothesis Representation

Logistic Regression - Classification Problem

Vectorization

Octave - Plot, Control Statements

Normal Equation

Choosing Features and Polynomial Regression

Learning Rate

Feature Scaling and Mean Normalization

Gradient Descent for Multiple Variables

Linear Regression with Multiple Variables

Linear Algebra Review

Gradient Descent for Linear Regression

Gradient Descent - Intuition

Gradient Descent