Strang is an excellent lecturer - his videos for 18.06 (Linear Algebra) were instrumental for me in relearning the subject matter more than twenty years after I last studied it.<p>I used 18.06 to learn the linear algebra necessary to prepare for further study in machine learning. It was sufficient for that purpose, (I got a B and an A in CMU's 10-601 and 10-605 ML courses, respectively) but this 18.065 course is more specifically geared for that purpose. The companion book is quite good, as well.
Oh-oh, no linkifying in text submissions, well here we go:<p>OCW link: <a href="https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-data-analysis-signal-processing-and-machine-learning-spring-2018/video-lectures/" rel="nofollow">https://ocw.mit.edu/courses/mathematics/18-065-matrix-method...</a>
YouTube playlist:<p><a href="https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k" rel="nofollow">https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIU...</a><p>Book link:<p><a href="https://amzn.to/2WecEkk" rel="nofollow">https://amzn.to/2WecEkk</a>
I love how the introductory video gives you a big picture of different ways the math can be applied to real life scenarios. I wish they did this more frequently at school. Often the students did not understand at the beginning how all these stuff could be useful and thus they did not invest in the effort or were not interested at all. Each curriculum at school should have an introductory course that clearly outlines and explains how the content of each course can be applied to real life scenarios, including examples of use cases that help students understand the big picture and to motivate them.
I skipped to the end and watched Alan Edelman’s talk on Julia.<p><a href="https://youtu.be/rZS2LGiurKY" rel="nofollow">https://youtu.be/rZS2LGiurKY</a><p>Alan (co-author of Julia) mentions that only Swift and Julia make the cut for ML, according to Google.<p>I do like Swift and I’m willing to learn Julia, but most of the ML I see uses Python. Is there any traction for Julia or Swift, or is it mostly aspirational at the moment?
Love Gilbert Strang's original linear algebra lectures on YouTube [1]. They were a huge help while I took the course.<p>In my opinion, he takes great care to motivate each topic and express his train of thought when working through problems.<p>[1] <a href="https://m.youtube.com/watch?v=ZK3O402wf1c" rel="nofollow">https://m.youtube.com/watch?v=ZK3O402wf1c</a>