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  <author_name>T_I_SHOW</author_name>
  <author_url>https://blog.hatena.ne.jp/T_I_SHOW/</author_url>
  <blog_title>限りなく院生に近いパリピ＠エストニア</blog_title>
  <blog_url>https://tishow.hateblo.jp/</blog_url>
  <categories>
    <anon>DataScience</anon>
    <anon>Statistics</anon>
    <anon>python</anon>
  </categories>
  <description>In this article, I am going to write a Bayesian Bandit algorithm. import matplotlib.pyplot as plt import numpy as np from scipy.stats import beta NUM_TRIALS = 2000 BANDIT_PROBABILITIES = [0.2, 0.5, 0.75] Bandit probabilities are divided into three value just in case. Quick favorite. Trial number is …</description>
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  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2018-06-19 07:20:34</published>
  <title>A/B test with python (Bandit)</title>
  <type>rich</type>
  <url>https://tishow.hateblo.jp/entry/2018/06/19/A/B_test_with_python_%28Bandit%29</url>
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