http://bjlkeng.github.io/enTue, 10 Mar 2026 20:54:58 GMTNikola (getnikola.com)http://blogs.law.harvard.edu/tech/rsshttp://bjlkeng.github.io/posts/tensors-tensors-tensors/Brian Keng<div><p>This post is going to take a step back from some of the machine learning topics that I've been writing about recently and go back to some basics: math! In particular, tensors. This is a topic that is casually mentioned in machine learning papers but for those of us who weren't physics or math majors (*cough* computer engineers), it's a bit murky trying to understand what's going on. So on my most recent vacation, I started reading a variety of sources on the interweb trying to piece together a picture of what tensors were all about. As usual, I'll skip the heavy formalities (partly because I probably couldn't do them justice) and instead try to explain the intuition using my usual approach of examples and more basic maths. I'll sprinkle in a bunch of examples and also try to relate it back to ML where possible. Hope you like it!</p> <p><a href="http://bjlkeng.github.io/posts/tensors-tensors-tensors/">Read more…</a> (23 min remaining to read)</p></div>bilinearcontravariancecovariancecovectorsgeometric vectorslinear transformationsmathjaxmetric tensortensorshttp://bjlkeng.github.io/posts/tensors-tensors-tensors/Tue, 13 Mar 2018 13:24:57 GMT