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| | mcyoung.xyz
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| | [AI summary] This text provides an in-depth explanation of linear algebra concepts, including vector spaces, linear transformations, matrix multiplication, and field extensions. It emphasizes the importance of understanding these concepts through the lens of linear maps and their composition, which naturally leads to the matrix multiplication formula. The text also touches on the distinction between vector spaces and abelian groups, and discusses the concept of field extensions, such as [R:Q] and [C:R]. The author mentions their art blog and acknowledges their own drawing of the content.
| | matthewmcateer.me
3.4 parsecs away

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| | Important mathematical prerequisites for getting into Machine Learning, Deep Learning, or any of the other space
| | francisbach.com
2.9 parsecs away

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| | www.nicktasios.nl
27.8 parsecs away

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| In the Latent Diffusion Series of blog posts, I'm going through all components needed to train a latent diffusion model to generate random digits from the MNIST dataset. In the second post, we will bu