Does it make sense to study GA for use in data science?
My linear algebra itself is rusty so I'm not clear if the more general operations of GA make it well suited to studying stats/machine learning concepts.
It does... If you want to develop new methods that use GA concepts, or you want more perspective on geometric notions.
GA is not more general than linear algebra... i think of it as sitting between vector algebra (which often is too limited) and linear algebra (which is often too general).
All GA expressions are in LA (though they may be much uglier), not all LA expressions are in GA.
GA is not more general than linear algebra... i think of it as sitting between vector algebra (which often is too limited) and linear algebra (which is often too general).
All GA expressions are in LA (though they may be much uglier), not all LA expressions are in GA.