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Comment by baby | Hacker News Reader

erk, I don't think condensing much information in the smallest place possible is the best way to learn something (or even review it).

I'm all for a no bullshit and quick way to get something. That's why I sometimes check learnXinYminutes.com or some random cheatsheets on Google. But this doesn't make it for me.

Btw, if you really want to get a good grasp on Linear Algebra you should check Gilbert Strang's video courses on MIT OpenCourseWare. They are amazing and soooo easy to understand you don't even need to like mathematics to watch them. I haven't come across a better support to start with Linear Algebra.

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Course codes 18.06SC and 18.06 i think if anyone else was looking. Thanks for the pointer, really appreciated!

Got excited for a moment...then did some prerequisites digging and ended up with a prerequisites dependency chain:

18.06 -> 18.02 -> 18.01

Where 18.02 = Multi Variable Calc 18-01 = Single Variable Calc

Considering that my whole point of learning linear algebra was to clear it as a roadblock for Machine Learning, this is what my whole Dependency chain looks like:

Machine Learning -> Linear Algebra -> Multivariable Calc -> Single Variable Calc -> high school algebra and trigonometry.

I have a feeling I'll end up sticking to being a web developer :)

Calculus gets a bad rap for being difficult, but if you're learning on your own, you can just focus on the ideas and not on the arduous computation (which something like maxima can do for you). The core ideas of calculus can probably be learned in a week. Review all the trig on Khan Academy, then try watching some calculus lectures, focusing on the big ideas, not memorizing rules for computing derivatives or integrals.

BTW, you probably don't need much calculus to learn most of the linear algebra you need; those requirements are mostly there for mathematical maturity, plus then being able to assign more interesting exercises.

Gilbert Strang made a great series of lectures on the big ideas of calculus sans most of the computation - http://www.youtube.com/playlist?list=PLBE9407EA64E2C318

You don't really need those calc courses to learn linear algebra. It's more about "mathematical maturity": familiarity with vectors, functions, inverse functions, a general intuition about multidimensional coordinates, and so on. A programming background would probably go a long way (although I don't speak from experience; I learned a lot of math before I started programming).

It's hard to overstate the importance of linear algebra in software. It's really worth learning.

I think the calc course prerequisites have an even simpler explanation: mathematicians don't usually manage to mention the existence of vectors until the multivariable calculus class. If you're already familiar with that idea, you shouldn't need to know anything about partial derivatives and surface integrals to understand linear algebra!

Don't look at the prerequisites and dig right in. I don't think you'll have any problems. Linear Algebra is something that kinda stand on its own.

> this is what my whole Dependency chain looks like

You should not think like that when learning. If you want to be efficient just take shortcuts.

Learn machine learning (btw there are great courses on coursera or Stanford about that), and if you're stuck on something just check on wikipedia or another resource.

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