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For me the intuition came from Sebastian Thrun in his Ai for robotics online course. Running through everything in 1D definitely helped get the concepts before
by tim-fan 3y ago
For me the intuition came from Sebastian Thrun in his Ai for robotics online course. Running through everything in 1D definitely helped get the concepts before extending to multidimensional problems.
This looks to be the course playlist: https://youtube.com/playlist?list=PLAwxTw4SYaPkCSYXw6-a_aAoXVKLDwnHK&si=bnG8A7Or8_iGs8gm https://youtube.com/playlist?list=PLAwxTw4SYaPkCSYXw6-a_aAoX...
The kalman filter stuff starts at video "Tracking Intro - Artificial Intelligence for Robotics"
Also the free course appears to be available here, although a login is required to access:
https://www.udacity.com/course/intro-to-artificial-intelligence--cs271 https://www.udacity.com/course/intro-to-artificial-intellige...
- esafak 3y agoFor my money -- as a machine learning engineer -- the simplest explanation is Christopher Bishop's: https://www.youtube.com/watch?v=QJSEQeH40hM https://www.youtube.com/watch?v=QJSEQeH40hM http://mlss.tuebingen.mpg.de/2013/2013/bishop_slides.pdf#page=86 http://mlss.tuebingen.mpg.de/2013/2013/bishop_slides.pdf#pag...