데분데싸

In [1]: %config Completer.use_jedi = False 1.2 베이지안 프레임워크¶ 사후확률(posterior probability)은 곡선으로 표시되고, 불확실성은 곡선의 너비에 비례함 In [2]: %matplotlib inline from IPython.core.pylabtools import figsize import numpy as np import matplotlib.pyplot as plt import matplotlib import scipy.stats as stats matplotlib.rc('font', family='Malgun Gothic') figsize(8, 8) In [3]: dist = stats.beta n_trials = ..

- Learn basic sampling method Understand the concep of Markov chain Monte Carlo Able to apply MCMC to the parameter inference of Bayesian networks Know the mechanism of rejection sampling Know the mechanism of importance sampling - Learn sampling based inference Understand the concept of Metropolis-Hastings algorithm Know the mechanism of Gibbs sampling Forward Sampling in GMM - Sample $z$ from ..