Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Gilbert Strang's lectures on Linear Algebra: https://ocw.mit.edu/courses/18-06-linear-algebra-spring-2010...

LinAlg was the only maths course I needed in my interdisciplinary study program. I had struggled to grasp maths in high school, but these lectures really made it click for me and I passed my university's class with a B+.



Similar to that one, he also teaches a more recent course geared for applications of linear algebra: Matrix Methods In Data Analysis, Signal Processing, And Machine Learning

https://ocw.mit.edu/courses/18-065-matrix-methods-in-data-an...


I used this to get up to speed when taking Machine Learning grad courses, having never took a Linear Algebra course in high school or undergrad.

Along with the wonderful MIT videos! Just a man and a chalkboard, explaining the core insights and relationships behind linear algebra concepts.


The first couple of lectures _alone_ are incredible to really grok raw matrix multiplication.

I found the rest of the lectures a bit less of an epiphany, I think he meanders sometimes too much, but that’s a personal note. The whole series is absolutely incredible.


When I was an undergrad math major, linear algebra was one of those general foundations math classes that students from all the science majors were in. Because of that they had to teach a lot of sections of it, and that meant grad students lecturing it. The class was kind of a mess, but luckily professor Strang had these lectures up online even back then (2003 probably). Who knows how I would have done in that class without them, they really saved me at the time.

I should revisit them, I remember them being great!


I watched these lectures as a refresher many years after graduating and found them amazing.




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: