Points of Significance: Machine learning: a primer
Nat Methods
.
2017 Nov 30;14(12):1119-1120.
doi: 10.1038/nmeth.4526.
Authors
Danilo Bzdok
1
,
Martin Krzywinski
2
,
Naomi Altman
3
Affiliations
1
Department of Psychiatry at the RWTH Aachen University in Germany and a Visiting Professor at INRIA/Neurospin Saclay in France.
2
Canada's Michael Smith Genome Sciences Centre.
3
The Pennsylvania State University.
PMID:
29664466
PMCID:
PMC5905345
DOI:
10.1038/nmeth.4526
Abstract
Machine learning extracts general principles from observed examples without explicit instructions.
MeSH terms
Algorithms
Hormones / blood
Humans
Machine Learning* / statistics & numerical data
Models, Biological*
Sensitivity and Specificity
Substances
Hormones
Grants and funding
R01 MH074457/MH/NIMH NIH HHS/United States