Skip to content

A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematics essential to understanding machine learning.

Notifications You must be signed in to change notification settings

JohnGiorgi/mathematics-for-machine-learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

67 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Mathematics for Machine Learning

A single resource, in the form of a simple website built with GitHub Pages, which will hopefully serve as a complete crash course on the various areas of mathematics essential to understanding machine learning. To do this, I will use the Mathematics for Machine Learning Specialization on Coursera as my guide, but also pull from other resources, such as Khan Academy and 3Blue1Brown's various video playlists on Youtube.

The end goal will be to produce a simple site that someone (including myself) could use to quickly bring themselves up to speed on the fundamental mathematical concepts necessary for machine learning. The target audience are those who have at least some highschool math, but who should really have taken introductory courses on Linear Algebra and Calculus in college.

The website can be accessed here.

Full credit to the team behind the Mathematics for Machine Learning Specialization course on Coursera for creating such an awesome resource. I highly encourage anyone who needs to brush up on their mathematics for machine learning to check that course out.

Notebooks

Notebooks contains Jupyter notebooks for each course in the specialization, which each contain python implementations for many of the discussed concepts.

Attribution

Just like the Mathematics for Machine Learning Specialization, This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

About

A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematics essential to understanding machine learning.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published