Matrix operations for AI and machine learning

BeginnerGuided Project

Matrices are at the heart of everything we do in AI. ChatGPT, Llama, and other LLMs are all built on matrices. Learn the basics of matrices using Python, NumPy, and sklearn to put yourself on a path towards understanding AI. In this hands-on project, you learn the essential principles and operations of matrices. The project covers everything from basic matrix operations to more advanced concepts, such as principle component analysis (PCA). Take your first step towards navigating the intricacies of AI by starting this free project today!

4.6 (52 Reviews)

Language

English

Topic

Artificial Intelligence

Enrollment Count

Skills You Will Learn

Artificial Intelligence, General Statistics, Mathematics, Numpy, Python, sklearn

Offered By

IBMSkillsNetwork

Estimated Effort

45 minutes

Platform

SkillsNetwork

Last Update

March 11, 2026

About this Guided Project

A look at the project ahead

Matrices are more than just arrays of numbers. They are at the heart of data science and artificial intelligence. By completing this hands-on project, you'll uncover the secret language of algorithms and data structures that power everything from machine learning models to image processing. You'll gain a foundational understanding that is not only intellectually satisfying but also immensely practical. This knowledge will empower you to build, analyze, and improve sophisticated AI systems, making you a valuable asset in this rapidly evolving field.

Learning objectives

In this project, you:

Learn basic matrix operations such as
- Matrix addition and subtraction
- Vector multiplication
- Eigen decomposition
Apply these matrix operations using NumPy
Factorize for PCA, and confirm the result using sklearn

What you'll need

All you need is basic knowledge of Python and linear algebra. You also need a modern browser, such as a recent version of Chrome, Edge, Firefox, Internet Explorer, or Safari.