大数据实用指南。
A practical guide to big data.
作者信息
Smirnova Ekaterina, Ivanescu Andrada, Bai Jiawei, Crainiceanu Ciprian M
机构信息
Assistant Professor, Department of Mathematical Sciences, University of Montana, 32 Campus Dr, Missoula, MT 59812.
Assistant Professor, Department of Mathematical Sciences, Montclair University, 1 Normal Avenue Montclair, NJ 07043.
出版信息
Stat Probab Lett. 2018 May;136:25-29. doi: 10.1016/j.spl.2018.02.014. Epub 2018 Mar 1.
Abstract
Big Data is increasingly prevalent in science and data analysis. We provide a short tutorial for adapting to these changes and making the necessary adjustments to the academic culture to keep Biostatistics truly impactful in scientific research.
摘要
大数据在科学和数据分析中越来越普遍。我们提供一个简短的教程，以适应这些变化，并对学术文化做出必要的调整，使生物统计学在科学研究中真正具有影响力。
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