I am [Jakub Szymkowiak](https://scholar.google.com/citations?user=BBcSMsYAAAAJ&hl=en), a PhD student in Computer Science, specializing in computer graphics and machine learning. Currently, I’m primarily interested in 3D Gaussian Splatting. I have a deep interest in learning and find taking extensive, structured notes a particularly good way to organize my understanding — this website is where I upload them. Oftentimes, when reading books, papers, and other resources, I find the explanations there to be simultaneously much too technical, blurring the core ideas behind a pile of tedious calculations, and not providing enough structural insight into how these concepts I’m learning about actually play out. In my notes, I try to hit the sweet spot, providing both rigor and intuition. As such, these notes might prove to be too technical for a layman, and at the same time not technical enough to actually learn from — this is what textbooks are for. They are primarily written to benefit my own understanding, but if anyone finds them useful, I’d be delighted. I’d be very interested in discussing everything and anything related to the topics covered here — feel welcomed to reach out to me at `[email protected]`. Finally, if you enjoy these notes of mine, you might as well want to check out other blogs, which I find to be somewhat similar in spirit — or, at the least , very interesting and inspirational: - [Theoretical Universe](https://shaussler.github.io/TheoreticalUniverse/index.html) by Stéphane Haussler - [Homotopico](https://www.homotopico.com) by Santiago Quintero de los Ríos - [Mathematics for Physics | An Illustrated Handbook](https://www.mathphysicsbook.com) by Adam Marsh - [Physics for Mathematicians](https://nicf.net/articles/physics-for-mathematicians/) by Nicolas Ford - [Inigo Quilez's Blog](https://iquilezles.org)