POINTS OF SIGNIFICANCE Statistics versus machine learning

被引:763
|
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 50 条
  • [1] Statistics versus machine learning
    Danilo Bzdok
    Naomi Altman
    Martin Krzywinski
    [J]. Nature Methods, 2018, 15 : 233 - 234
  • [2] POINTS OF SIGNIFICANCE Machine learning: a primer
    Bzdok, Danilo
    Krzywinski, Martin
    Altman, Naomi
    [J]. NATURE METHODS, 2017, 14 (12) : 1119 - 1120
  • [3] Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important)
    Van Calster, Ben
    Verbakel, Jan Y.
    Christodoulou, Evangelia
    Steyerberg, Ewout W.
    Collins, Gary S.
    [J]. JOURNAL OF CLINICAL EPIDEMIOLOGY, 2019, 116 : 137 - 138
  • [4] Algorithmic Statistics, Prediction and Machine Learning
    Milovanov, Alexey
    [J]. 33RD SYMPOSIUM ON THEORETICAL ASPECTS OF COMPUTER SCIENCE (STACS 2016), 2016, 47
  • [5] Machine Learning Requires Probability and Statistics
    Braga-Neto, Ulisses M.
    Dougherty, Edward R.
    [J]. IEEE SIGNAL PROCESSING MAGAZINE, 2020, 37 (04) : 118 - 122
  • [6] Proximal Algorithms in Statistics and Machine Learning
    Polson, Nicholas G.
    Scott, James G.
    Willard, Brandon T.
    [J]. STATISTICAL SCIENCE, 2015, 30 (04) : 559 - 581
  • [7] Representativeness in Statistics, Politics, and Machine Learning
    Chasalow, Kyla
    Levy, Karen
    [J]. PROCEEDINGS OF THE 2021 ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, FACCT 2021, 2021, : 77 - 89
  • [8] Editorial: On the interface of statistics and machine learning
    Christmann, Andreas
    Shen, Xiaotong
    [J]. STATISTICS AND ITS INTERFACE, 2009, 2 (03) : 255 - 256
  • [9] Predicting Outcome in Patients with Brain Injury: Differences between Machine Learning versus Conventional Statistics
    Cerasa, Antonio
    Tartarisco, Gennaro
    Bruschetta, Roberta
    Ciancarelli, Irene
    Morone, Giovanni
    Calabro, Rocco Salvatore
    Pioggia, Giovanni
    Tonin, Paolo
    Iosa, Marco
    [J]. BIOMEDICINES, 2022, 10 (09)
  • [10] Special feature: computational statistics and machine learning
    Hiroshi Yadohisa
    Wataru Sakamoto
    [J]. Japanese Journal of Statistics and Data Science, 2019, 2 : 219 - 220