Machine Learning, Data Science.
plt.title('Posterior distribution of $p) plt.vlines(p_heads, 0, n_trials / 10, linestyle='--', label='true $p$ (unknown)') plt.hist(trace['p'], range=[0.3, 0.9], bins=25, histtype='stepfilled', normed=True) plt.legend() From this result, we can see that the overwhelming likelihood is that the coin