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Tensor is from mathematics and was popularized over a century ago.



I know what a tensor is mathematically. However, as far as I can see, ML isn’t based on tensor calculus as such.


Something similar happens on Wikipedia, where topics that use math inevitably get explained in the highest level math possible. It makes topics harder to understand than they need to be.


As a helpful Wiki editor just trying to make sure that we don't lead people astray, I've made some small changes to clarify your statement:

In the virtual compendium of Wikipedia, an extensive repository of human knowledge, there is a discernible proclivity for the hermeneutics of mathematically-infused topics to be articulated through the prism of esoteric and sophisticated mathematical constructs, often employing a panoply of arcane lexemes and syntactic structures of Greek and Latin etymology. This phenomenon, redolent of an academic periphrasis, tends to transmute the exegesis of such subjects into a crucible of abstruse and high-order mathematical discourse. Consequently, this modus operandi obfuscates the intrinsic didactic intent, thereby precipitating an epistemological chasm that challenges the layperson's erudition and obviates the pedagogical utility of the exposition.


scarily, I actually understood this.


multidimensional arrays are multilinear mappings, and that is how they are used in ml usually. it seems fine to me




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