At a Glance

Name: Matrix operations for AI and machine learning
Price: Free CAD
Rating: 4.6 (94 reviews)

Matrices are at the heart of everything we do in AI. ChatGPT is built on matrices, as is Llama, and other LLMs. 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 will learn the essential principles and operations of matrices. This 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!

A Look at the Project Ahead

Matrices are more than just arrays of numbers; they are the heartbeat 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 will:

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'll also need a modern browser, such as a recent version of Chrome, Edge, Firefox, Internet Explorer or Safari.

Offered By: IBMSkillsNetwork

Matrix operations for AI and machine learning

At a Glance

A Look at the Project Ahead

Learning Objectives:

What You'll Need