This is the page for the MIT 18.06 Linear Algebra course hosted by the Machine Learning Nanodegree Slack group.
Click here to enroll and go here to view the list of enrolled students
Every "week" (the pacing may change) there will be new topics and homework that you can work through. The current week's content will be available on this GitHub page and past weeks are in the [Wiki.]()
If you want to discuss or ask any questions, you can either drop a message in the #mit_1806 channel in the MLND Slack Group, or open an GitHub "issue" at the top of the page (we treat these like forum threads). Please label your thread with the correct tags so that people can find what they are looking for.
Don't be shy to ask any questions, we don't bite and the chances are that someone else is wondering about the same thing! :)
To explore:
alpha*u+beta*v+...
) and their spans Ax=b
and Ax=lambda*x
Notation:
lambda in \R
Resources:
Homework is provided by @joshuacook. It is unique to this course! Two options to get it: fork this repo and do it locally. Please submit a pull request to upload your finished version when you are done. (Make sure to rename the file!) OR you can do it online with a shared jupyternotebook
Learning goals:
numpy
in the context of linear algebraWatch Videos
Complete Homework 1
Complete Homework 2
Lecture 13: Quiz 1 review
Take Home Quiz 1 due 10/30/16
Take Home Quiz 2 due 1/3/17
Take Home Final Exam due 2/20/17