One is based on the USSR style of mathematical education, and the other is inspired by its collective philosophy of mathematical pedagogy. Both are excellent, and with a program inspired by Russian math education, you can be confident in your learning.
One is based on the USSR style of mathematical education, and the other is inspired by its collective philosophy of mathematical pedagogy. Both are excellent, and with a program inspired by Russian math education, you can be confident in your learning. https://t.co/ikfXQ4ZrKm
"a new and conclusive presentation of the homological methods [...] a very useful, up-to-date reference book for working mathematicians" writes Peter Schenzel in @zbMATH about the book
Derived Category Methods in Commutative Algebra
by Christensen, Foxby (†) and Holm. (1/2)
The representer theorem is fundamental in ML - it states that for a broad class of optimization problems, the optimal solution can always be expressed as a linear combination of certain (kernel) functions of the training data. Why is it useful & where did it originate?
1/5
This is a text by a professional mathematician [Kevin Houston] and it aims to facilitate your transition to mathematical thinking. It offers arsenals of techniques to understand definitions, theorems, and proofs, solve problems, and write mathematics effectively.
Information geometry relies on differential geometry:
3 recommended beginner books to get started:
- easy intro to tensors from scratch (Muhlich)
- 👍👍 short intro to Riemannian geometry (Godinho & Natario)
- intro to symplectic and contact structures (McInerney)
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