RubyKaigi 2018 http://rubykaigi.org/2018
2017/9/22(金) 開催 サイバーエージェントのデータ分析基盤とデータ活用およびそれらの技術についての勉強会「Data Engineering and Data Analysis Workshop #2」Read less
確率的アルゴリズム HyperLogLog に関する論文 “HyperLogLog in Practice” を 森田が紹介します。感想などはハッシュタグ #misreading か hello@misreading.chat にお寄せください。 HyperLogLog in Practice: Algorithmic Engineering of a State of The Art Cardinality Estimation Algorithm – Google AI HyperLogLog: the analysis of a near-optimal cardinality estimation algorithm Loglog Counting of Large Cardinalities Probabilistic Counting Algorithms for Data B
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In statistics, the mode is the value that appears most often in a set of data values.[1] If X is a discrete random variable, the mode is the value x at which the probability mass function takes its maximum value (i.e., x=argmaxxi P(X = xi)). In other words, it is the value that is most likely to be sampled. Like the statistical mean and median, the mode is a way of expressing, in a (usually) singl
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