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What areas of mathematics do you need to know in order to understand and develop algorithms based on neural networks?
I constantly read articles on Habré about learning machines and neural networks, but because of ignorance of the mat. parts have problems understanding the algorithms. I would like to learn theory, but I do not know where to start.
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I will add: as well as linear algebra, mat. analysis, ter.ver, combinatorics. For example, you can smoke the ShAD list .
Statistics and most of discrete mathematics (English wiki due to quite a good set of subsections).
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