Lec 1 | MIT 18.06 Linear Algebra, Spring 2005

Why HN readers recommended it

It is HN's default recommendation for learning linear algebra, praised for Strang's teaching and for building real understanding useful in machine learning.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel

MIT OpenCourseWare

Topic

linear algebra

Format

lecture

Level

intro

HN recommenders in dataset

11

HN mentions in dataset

15

Recommendation years in dataset

2011–2020

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

• I highly recommend the MIT 18.06 open course on linear algebra - the lectures are first rate. I've been going through this as a refresher, in prep for the Stanford machine learning class. Link to the course: [LINK] Link to the YouTube videos of the …

• Useful list. I would recommend adding one more resource for linear algebra/machine learning: I absolutely enjoyed learning Linear Algebra from these beautiful lectures by Prof. Gilbert Strang (MIT): [VIDEO] Seriously, I gained a new found appreciation for Linear algebra after going through these lectures. You …

• Gilbert Strang's Linear Algebra course from MIT, available on youtube (3 million views!), and his textbook of the same name are awesome. What a great teacher. [VIDEO]