Randomized experimentation – Machine Learning (Theory)

One good thing about doing machine learning at present is that people actually use it! The back-ends of many systems we interact with on a daily basis are driven by machine learning. In most such systems, as users interact with the system, it is natural for the system designer to wish to optimize the models under the hood over time, in a way that improves the user experience. To ground the discuss

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ユーザログ収集→評価→学習を繰り返す場合には多少のランダム性も含めた結果をユーザに提示すると良いねって話（たぶん）