New ask Hacker News story: Tell HN: Comp Sci, Algebra and Calculus Resources I Like
Tell HN: Comp Sci, Algebra and Calculus Resources I Like
2 by LabMechanic | 0 comments on Hacker News.
Below is a list of resources that I personally like, because most of them emphasize derivations/motivations (e.g., deriving the cross product out of 3 assumptions/axioms) over (mechanical) memorization (e.g., just showing the mechanics of matrix multiplication/determinants without derivations/motivations): - Bari A., Algorithms, YouTube (playlist), https://www.youtube.com/playlist?list=PLDN4rrl48XKpZkf03iYFl-O29szjTrs_O - Frenkel E., UC Berkeley: MATH 53 - Multivariable Calculus with Edward Frenkel, YouTube (playlist) https://www.youtube.com/playlist?list=PLaLOVNqqD-2GcoO8CLvCbprz2J0_1uaoZ - Hower V., Linear Algebra Full Course, YouTube (playlist), https://www.youtube.com/playlist?list=PLpcwHaLYiaEXW5fLNOlItPH4ATorKjBuc - Lockhart P., Measurement - Axler S., Linear Algebra, Springer, 2024, https://ift.tt/qJfRzWH - Ström et al., Immersive Linear Algebra, https://ift.tt/aucTW82 (online book) - Margalit et al., Interactive Linear Algebra, https://ift.tt/Ir7hv5N (online textbook) - Macdonald A., Linear and Geometric Algebra - Macdonald A., Vector and Geometric Calculus - Ramirez et al., From Vectors to Geometric Algebra, 2018, https://ift.tt/iSIKFy1 - Hertzmann et al., Computer Graphics Lecture Notes, Computer Science Department - University Toronto, 2005, https://ift.tt/ZwtBkLl Further, see Sergey Trail's "Linear Algebra Done Wrong" and watch Grant Sanderson, Easy Theory (theoretical CS), Jacob Sorber (operating systems), Graphics in 5 Minutes, Sam Buss (computer graphics), Dr. Daniel Page (theory of computation, data structures and algorithms), First Principles of Computer Vision on YouTube. Mr. Hertzmann has some more resources (that I haven't checked out yet): https://ift.tt/Fr3CIyU
2 by LabMechanic | 0 comments on Hacker News.
Below is a list of resources that I personally like, because most of them emphasize derivations/motivations (e.g., deriving the cross product out of 3 assumptions/axioms) over (mechanical) memorization (e.g., just showing the mechanics of matrix multiplication/determinants without derivations/motivations): - Bari A., Algorithms, YouTube (playlist), https://www.youtube.com/playlist?list=PLDN4rrl48XKpZkf03iYFl-O29szjTrs_O - Frenkel E., UC Berkeley: MATH 53 - Multivariable Calculus with Edward Frenkel, YouTube (playlist) https://www.youtube.com/playlist?list=PLaLOVNqqD-2GcoO8CLvCbprz2J0_1uaoZ - Hower V., Linear Algebra Full Course, YouTube (playlist), https://www.youtube.com/playlist?list=PLpcwHaLYiaEXW5fLNOlItPH4ATorKjBuc - Lockhart P., Measurement - Axler S., Linear Algebra, Springer, 2024, https://ift.tt/qJfRzWH - Ström et al., Immersive Linear Algebra, https://ift.tt/aucTW82 (online book) - Margalit et al., Interactive Linear Algebra, https://ift.tt/Ir7hv5N (online textbook) - Macdonald A., Linear and Geometric Algebra - Macdonald A., Vector and Geometric Calculus - Ramirez et al., From Vectors to Geometric Algebra, 2018, https://ift.tt/iSIKFy1 - Hertzmann et al., Computer Graphics Lecture Notes, Computer Science Department - University Toronto, 2005, https://ift.tt/ZwtBkLl Further, see Sergey Trail's "Linear Algebra Done Wrong" and watch Grant Sanderson, Easy Theory (theoretical CS), Jacob Sorber (operating systems), Graphics in 5 Minutes, Sam Buss (computer graphics), Dr. Daniel Page (theory of computation, data structures and algorithms), First Principles of Computer Vision on YouTube. Mr. Hertzmann has some more resources (that I haven't checked out yet): https://ift.tt/Fr3CIyU
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