datapine
NOVEMBER 19, 2019
Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. Popularity is not just chosen to measure quality, but also to measure business value. Through feedback mechanisms including comments, ratings, tags, blogs, and microblogs, the results of published BI can be enhanced.
The Unofficial Google Data Science Blog
OCTOBER 7, 2015
by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.
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Domino Data Lab
MAY 20, 2021
This renders measures like classification accuracy meaningless. The use of multiple measurements in taxonomic problems. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Morgan Kaufmann Publishers Inc. Machine Learning, 57–78. Dua, D., & Graff, C. Quinlan, J.
The Unofficial Google Data Science Blog
JULY 22, 2020
Companies like Google [2], Amazon [3], and Microsoft [4] have all published scholarly articles on this topic. For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining.
datapine
NOVEMBER 19, 2019
Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. Popularity is not just chosen to measure quality, but also to measure business value. Through feedback mechanisms including comments, ratings, tags, blogs, and microblogs, the results of published BI can be enhanced.
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