http://ais.informatik.uni-freiburg.de/teaching/ws22/mapping/ http://www.ipb.uni-bonn.de/people/cyrill-stachniss/
There are YouTube videos from 2013 here: https://www.youtube.com/playlist?list=PLgnQpQtFTOGQrZ4O5QzbI...
The course itself is mostly based on the Probabilistic Robotics book from Sebastian Thrun et al: https://mitpress.mit.edu/9780262201629/probabilistic-robotic...
Unlike the OP article, it does make use of the math formalism for Kalman filters, but it is a relatively gentle introduction that does a very good job visualizing and explaining the intuition of each term. I have gotten positive feedback (no pun intended!) from interns or junior hires using this resource to familiarize themselves with the topic.
If you are making a deeper study and are ready to dive into a textbook that more thoroughly explores theory and application, there is a book by Gibbs[1] that I have used in the past and is well-regarded in some segments of industry that rely on these techniques for state estimation and GNC.
[1] https://onlinelibrary.wiley.com/doi/book/10.1002/97804708900...
https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Pyt...
Interactive examples programmed in Jupyter notebooks.
However the more math you know, the more tools you have available to tackle problems and the more diverse the set of projects you can tackle are. You’ll spend less time reinventing the wheel and you don’t need to come up with shoddy heuristic solutions to problems because you can formally specify the problem and apply the right tool to solve it.
No one right in their head would claim that knowledge of 'only' HS math is insufficient when it comes to having a successful career in Front-End, Back-End, Ops, Cloud etc and many other positions pertaining to web technologies. I have no idea what people in this sector do but I'd highly doubt advanced math knowledge would even benefit their career considering they are remaining there.
However the fact that there are people on this very platform saying that those who say Linear Algebra mastery is "gatekeeping" to people aspiring to become Machine Learning engineers demonstrates, at the very least, poor critical thinking on their part about the inefficiency of self - learning math only through 'pleasant' means such as:
I will only watch this cool video with animations,laying on my bed, about this hard math concept instead of grabbing some paper and pencil and carefully study some high quality textbook. I need to built intuition ASAP !!!