POINTS OF SIGNIFICANCE Statistics versus machine learning

被引:925
作者
Bzdok, Danilo [1 ,2 ]
Altman, Naomi [3 ]
Krzywinski, Martin [4 ]
机构
[1] Rhein Westfal TH Aachen, Dept Psychiat, Aachen, Germany
[2] INRIA Neurospin Saclay, Gif Sur Yvette, France
[3] Penn State Univ, Stat, University Pk, PA 16802 USA
[4] Canadas Michael Smith Genome Sci Ctr, Vancouver, BC, Canada
关键词
D O I
10.1038/nmeth.4642
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Statistics draws population inferences from a sample, and machine learning finds generalizable predictive patterns.
引用
收藏
页码:232 / 233
页数:2
相关论文
共 6 条
[1]   POINTS OF SIGNIFICANCE Ensemble methods: bagging and random forests [J].
Altman, Naomi ;
Krzywinski, Martin .
NATURE METHODS, 2017, 14 (10) :933-934
[2]   POINTS OF SIGNIFICANCE Machine learning: a primer [J].
Bzdok, Danilo ;
Krzywinski, Martin ;
Altman, Naomi .
NATURE METHODS, 2017, 14 (12) :1119-1120
[3]   Classical Statistics and Statistical Learning in Imaging Neuroscience [J].
Bzdok, Danilo .
FRONTIERS IN NEUROSCIENCE, 2017, 11
[4]   POINTS OF SIGNIFICANCE Comparing samples-part II [J].
Krzywinski, Martin ;
Altman, Naomi .
NATURE METHODS, 2014, 11 (04) :355-356
[5]   Points of SIGNIFICANCE Sampling distributions and the bootstrap [J].
Kulesa, Anthony ;
Krzywinski, Martin ;
Blainey, Paul ;
Altman, Naomi .
NATURE METHODS, 2015, 12 (06) :477-478
[6]   Classification evaluation (vol 13, 603, 2016) [J].
Lever, Jake ;
Krzywinski, Martin ;
Altman, Naomi .
NATURE METHODS, 2016, 13 (08) :603-604