The last lecture of the course. Find out how absurdly powerful the singular value decomposition is, and learn how it solves problems including image compression and 3D reconstruction. Everything you've learned finally comes together here.
You can find the slides and code here:
https://github.com/rmislam/practical-linear-algebra
"Modeling the World from Internet Photo Collections" by Snavely et al.:
https://phototour.cs.washington.edu/ModelingTheWorld_ijcv07.pdf
PythonSIFT, an implementation of SIFT I wrote purely in Python for learning:
https://github.com/rmislam/PythonSIFT
An article where I explain the SIFT algorithm in detail:
https://medium.com/@russmislam/implementing-sift-in-python-a-complete-guide-part-1-306a99b50aa5
