I'm not someone that graduated college, but do my best to study independently. I'm somewhat familiar with all of the topics (except privacy preservation), but

I'm not someone that graduated college, but do my best to study independently. I'm somewhat familiar with all of the topics (except privacy preservation), but I'm a bit surprised to see these all lumped together. They're all certainly useful, but they seem some what sparsely related. Can someone tie together - Probabilistic data structures & hashing - PCA/SVD/Sampling/Compressed Sensing - Privacy preservation for me? They seem like they should be three independent courses. For anyone interested in the PCA/SVD/Compressed Sensing - Steve Brunton[0] (prof at UW) has a youtube channel full of various lectures from vector calculus, pca, svd, dynamical systems, and more [0] https://www.youtube.com/c/Eigensteve https://www.youtube.com/c/Eigensteve