Steve Brunton: fancy visual lectures on nonlinear control systems & ML. has some of the best educational content I’ve ever seen, just barely beating Mutual Information for explanation quality while going into much more advanced topics. Focuses on control theory, nonlinear control, dynamical systems, etc. https://www.youtube.com/channel/UCm5mt-A4w61lknZ9lCsZtBw
It’s several college courses worth of material—it really depends what you want out of it. I personally am extremely curiosity-driven; without assessing what you already know I don’t feel able to give strong recommendations of where to start, which is in fact why I posted so many links here in the first place. if you want to work through Brunton’s content sequentially, I’d suggest picking the course playlist that interests you: https://www.youtube.com/c/Eigensteve/playlists
If your interests are mostly unprimed, I’d suggest checking out the physics-informed ML and sparsity playlists, maybe also skip around the fluid dynamics playlist to get a sense of what’s going on there. Alternately, skim a few videos to get a sense of which ones are relevant to your interests (2x speed with heavy jumping around), then queue the playlist that seems appropriate to you. If you really find it useful you might benefit from actually doing it like a course—I generally underpractice compared to ideal practice amount.
Steve Brunton: fancy visual lectures on nonlinear control systems & ML. has some of the best educational content I’ve ever seen, just barely beating Mutual Information for explanation quality while going into much more advanced topics. Focuses on control theory, nonlinear control, dynamical systems, etc. https://www.youtube.com/channel/UCm5mt-A4w61lknZ9lCsZtBw
Where do I start with this channel? Oldest video first?
It’s several college courses worth of material—it really depends what you want out of it. I personally am extremely curiosity-driven; without assessing what you already know I don’t feel able to give strong recommendations of where to start, which is in fact why I posted so many links here in the first place. if you want to work through Brunton’s content sequentially, I’d suggest picking the course playlist that interests you: https://www.youtube.com/c/Eigensteve/playlists
If your interests are mostly unprimed, I’d suggest checking out the physics-informed ML and sparsity playlists, maybe also skip around the fluid dynamics playlist to get a sense of what’s going on there. Alternately, skim a few videos to get a sense of which ones are relevant to your interests (2x speed with heavy jumping around), then queue the playlist that seems appropriate to you. If you really find it useful you might benefit from actually doing it like a course—I generally underpractice compared to ideal practice amount.