InTDS ArchivebyCarolina BentoMarkov models and Markov chains explained in real life: probabilistic workout routineMarkov defined a way to represent real-world stochastic systems and processes that encode dependencies and reach a steady-state over time.Dec 30, 202014Dec 30, 202014
InCantor’s ParadisebyGraeme KeithProbability for PragmatistsWhat does it mean that a probability is “correct” and how could you possibly know?Jan 25, 20211Jan 25, 20211
InCantor’s ParadisebyGraeme KeithThe Two Schools of Probability TheoryA layman’s look at the foundations of Frequentism and Bayesianism and how you can have the best of both.Mar 24, 20216Mar 24, 20216
InTDS ArchivebyYeung WONG8 Terms You Should Know about Bayesian Neural NetworkThe meaning of Prior, Posterior, Bayes’ Theorem, Negative Log-Likelihood, KL Divergence, Surrogate, Variational Inference & Evidence Lower…Oct 28, 20212Oct 28, 20212
