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Bayesian inference and how models actually "learn" (parametric vs. non-parametric). Where to Access the Content introduction to machine learning etienne bernard pdf
Bernard introduces Bayesian inference early. While frequentist statistics dominates the first half, he gently introduces priors and posteriors, preparing you for modern Bayesian deep learning. This is rare in an "introduction" text. 💡 : While PDF versions are sold commercially,