CS-4125 ML
Lecture 05: Octave
Overview and notes regarding the Octave and MATLAB programming languages used for numerical computation and rapid prototyping in machine learning.
The Octave Programming Language
- These notes have not been done
- Octave and MATLAB are very easy languages/frameworks to use so I recommend using a good online tutorial
Lecture 04: Linear Regression with Multiple Variables
A comprehensive guide to multivariate linear regression, covering gradient descent with multiple features, feature scaling, learning rate selection, polynomial regression, and the normal equation method.
Lecture 06: Logistic Regression
An in-depth explanation of logistic regression for binary and multiclass classification, including hypothesis representation, decision boundaries, cost function formulation, gradient descent, advanced optimization, and the one-vs-all strategy.