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I need someone to explain the math behind some of these concepts, I'll gladly pay you as well. My lecture slides absolutely suck. It's about Bayesian Networks, Priors/Posteriors, MLEs/MAPs, Linear Regression, SVMs, PCA, Kernel Tricks, Clustering and Neural Networks to the basic extent. Pls.
