Data Science 101
OCTOBER 31, 2019
Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). The models created using these algorithms could be evaluated against appropriate metrics to verify the model’s credibility.
The Unofficial Google Data Science Blog
OCTOBER 7, 2015
Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. Recently, we presented some basic insights from our effort to measure and predict long-term effects at KDD 2015 [1]. 2] Ron Kohavi, Randal M.
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