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I've taken the Coursera ML class. It's very easy if you have the adequate math background. And it's not very comprehensive, there are lots of machine learning m
by sampo 13y ago
I've taken the Coursera ML class. It's very easy if you have the adequate math background. And it's not very comprehensive, there are lots of machine learning methods that are not covered. So it's more like an introductory course to machine learning.
But it's absolutely commendable how Andrew Ng takes the topic to such an understandable level that a clever high schooler who knows a little about programming could take the course. There's even extra videos serving as a crash-course to linear algebra and octave programming in the first week.
So he really manages to make the topic accessible to a very large audience.
- dominotw 13y ago>adequate math background Do you know what kind of math is needed other than linear algebra.
- Discordian93 13y agoHaven't done the course, but from the preview of the videos, they cover the math you need and it's just basic, high-school level knowledge of linear algebra.
- sampo 13y agoBasic vector and matrix operations. The first half of a typical freshman linear algebra course is more than enough. But like I said, there is a matrix review in the beginning, so if you're willing to study those extra lectures, then almost no prior knowledge is needed. Also being able to take derivatives helps in a couple of places, but is not necessary.
- yelnatz 13y agoThats linear algebra.
- nrmn 13y agoSome calculus and linear algebra. The majority is linear algebra.