Machine Learning, Agile, Markov Chains, Bayesian Statistics, TensorFlow.
are interested in finding the number of story points we can complete in one iteration with 95% confidence. We will start by defining the likelihood function for the sample of size one: Let’s select the priors for μ and σ. For σ we choose non-informative prior: For μ we choose the conjugate prior