PRJ / 003
Mathematics / Machine Learning/2026
Calculus for Machine Learning
Calculus for Machine Learning is an educational web experience designed to explain the mathematics of change and optimization behind modern machine-learning systems. It connects fundamental calculus concepts with practical ML intuition, showing how functions, derivatives, gradients and optimization relate to neural networks, weight updates and backpropagation.
FIG / 001 — Project Overview
Category
Educational Technology
Environment
Web
Language
JavaScript
Status
Completed
01 / Overview
Understanding the mathematics behind machine learning.
A visual reference that connects calculus fundamentals with the mathematical operations used in machine learning and neural networks.
Technology Stack
01
Mathematics
02
Calculus
03
Machine Learning
04
Web Development
Gallery
Project visuals.
FIG / 002
End of project