| ▲ | tamnd 9 hours ago |
| This pairs really well with the little book https://github.com/little-book-of/linear-algebra, I have recently updated it with more content and clearer explanations, so if you're diving into this topic, you might find it helpful. |
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| ▲ | wodenokoto 7 hours ago | parent | next [-] |
| pairs well? Isn't it the same book? |
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| ▲ | dazzaji 7 hours ago | parent [-] | | Based on the URL correlation and content, it sure appears to be the same book. | | |
| ▲ | tamnd 6 hours ago | parent [-] | | By pairing, I mean that you can read the book alongside the notebook. Sometimes, in the notebook, I don't explain the concepts, only some Python code. |
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| ▲ | johnh-hn 9 hours ago | parent | prev | next [-] |
| Thank you for creating and open sourcing this. I have a question if I may. If a person has the goal of getting into a field like computer vision or machine learning, would they be able to build useful things right away if they completed this book? |
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| ▲ | tamnd 9 hours ago | parent [-] | | Definitely! If you scroll down a bit, you will see in Chapter 10 that I've included some fun applications, things like 2D/3D geometry, linear regression, recommender systems, and even a quick intro to PageRank. I wanted to show how these ideas connect to real-world problems, so it's not just theory. Hope you find it interesting. | | |
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| ▲ | m00dy 9 hours ago | parent | prev | next [-] |
| great work!, will take a look over the weekend. |
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| ▲ | constantcrying 7 hours ago | parent | prev [-] |
| >the core ideas of linear algebra I think it is actually delusional to say that a book which does not properly define what a vector is, contains the "core ideas" of linear algebra. Linear algebra is so much more than lines in R^n. It is a powerful theory because it is abstract. |
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| ▲ | CamperBob2 12 minutes ago | parent | next [-] | | A vector is an ordered collection of scalars, arranged either in a row or a column Seems like a valid definition of a vector to me. What should be added or removed, in your view? | |
| ▲ | coderatlarge 6 hours ago | parent | prev | next [-] | | if you know how to handle real or complex coordinate vectors and matrices you’re one only isomorphism away (aka choice of basis) from dealing with an “abstract” vector space (except if you want to talk about finite fields or infinite dimensions). it seems like a really good starting point for many learners’ backgrounds… | | |
| ▲ | constantcrying 3 hours ago | parent | next [-] | | >f you know how to handle real or complex coordinate vectors and matrices you’re one only isomorphism away (aka choice of basis) from dealing with an “abstract” vector space No, you aren't. How would you explain that matrices are both linear transformations and vectors? How would explain what a dual space is? How would you understand the properties of the Fourier transformation, which is a mapping between functions, which are also vectors, and itself also is a vector? | |
| ▲ | coderatlarge 6 hours ago | parent | prev [-] | | even Golub and van Loan basically start there. |
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| ▲ | mouse_ 6 hours ago | parent | prev [-] | | Offer a better alternative, then? E-books are handy. |
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