[D] Applications of modern/abstract algebra in Machine Learning • r/MachineLearning

Well, some people try to apply algebraic topology (and even algebraic geometry) to ML, so abstract algebra, a prerequisite for AT and AG, is useful in that sense. However, I'd rather read many good recent papers in deep learning to apply them for your research instead of studying AA and AT, as I see that's likely to result in more substantial results. Some recent AT application to ML includes On Characterizing the Capacity of Neural Networks using Algebraic Topology .