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I was going to assume that I did -- until I actually looked at the PDFs Table of Contents. I was hoping they'd cover more linear algebra techniques and get into
by amcoastal 6y ago
I was going to assume that I did -- until I actually looked at the PDFs Table of Contents. I was hoping they'd cover more linear algebra techniques and get into data-driven mathematical modeling, but nada. I feel like if you are developing a course like this today techniques like SVD, PCA, DMD etc. would be included.
- hnthwaccount 6y agoThis looks like a standard “Discrete Mathematics” course, or an “Introduction to Proofs” type course, where the style is definition-theorem-proof. If linear algebra were to be introduced in this class, then it would likely be at a theoretical level where linear algebra would be introduced through definition-theorem-proofs, starting with proving trivial things like (−1)v=−v. It would probably take an entire semester to get to more advanced topics in linear algebra. This is typically its own course and isn’t the computational version. Despite the book’s title this course is more geared towards getting students ready for Algorithms and other CS theory level courses.
- irishspring 6y agoThere are a wealth of such books. For example, elementary stuff[0] and more advanced stuff[1]. [0] Math For Machine Learning by Deisenroth, Faisal, Ong: https://www.google.com/books/edition/Mathematics_for_Machine_Learning/t4XQDwAAQBAJ?hl=en&gbpv=1&printsec=frontcover https://www.google.com/books/edition/Mathematics_for_Machine... [1] Foundations of Data Science by Blum, Hopcroft, Kannan: https://ttic.uchicago.edu/~avrim/book.pdf https://ttic.uchicago.edu/~avrim/book.pdf