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Journal of Machine Learning Research, ISSN 1532-4435, 10/2011, Volume 12, pp. 2825 - 2830
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems... 
Model selection | Supervised learning | Unsupervised learning | Python | model selection | supervised learning | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | unsupervised learning | Mathematical Software | Machine Learning | Computer Science
Journal Article
Annual review of sociology, ISSN 0360-0572, 7/2019, Volume 45, Issue 1, pp. 27 - 45
Journal Article
2009, 1st ed., Wiley series on methods and applications in data mining, ISBN 0470371927, xv, 246
... technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover... 
Support vector machines | Computer algorithms | Data mining | Machine learning | Applications of Computing | COMPUTERS / Databases / Data Mining
Book
NeuroImage (Orlando, Fla.), ISSN 1053-8119, 2015, Volume 104, pp. 398 - 412
Journal Article
Neurocomputing (Amsterdam), ISSN 0925-2312, 2018, Volume 300, pp. 70 - 79
Journal Article
Computational and structural biotechnology journal, ISSN 2001-0370, 2015, Volume 13, Issue C, pp. 8 - 17
.... The importance of classifying cancer patients into high or low risk groups has led many research teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML) methods... 
Predictive models | Cancer susceptibility | Cancer recurrence | Cancer survival | Machine learning | BIOCHEMISTRY & MOLECULAR BIOLOGY | SUSCEPTIBILITY | RISK | MODEL | DECISION-SUPPORT | BREAST-CANCER | FEATURE-SELECTION | NEURAL-NETWORKS | OUTCOME PREDICTION | RECURRENCE | SURVIVABILITY
Journal Article
Trends in genetics, ISSN 0168-9525, 2018, Volume 34, Issue 4, pp. 301 - 312
...: that of supervised machine learning (ML). We review the fundamentals of ML, discuss recent applications of supervised ML to population genetics that outperform competing methods, and describe promising future directions in this area... 
SOFT SWEEPS | NEUTRALITY | APPROXIMATE BAYESIAN COMPUTATION | POSITIVE SELECTION | ADAPTATION | GENETICS & HEREDITY | DETECTING SELECTIVE SWEEPS | STATISTICAL TESTS | HIDDEN MARKOV MODEL | HITCHHIKING | RECOMBINATION RATE VARIATION | Biological Evolution | Genetics, Population | Datasets as Topic | Humans | Selection, Genetic | Genome, Human | Supervised Machine Learning | Data Mining - methods
Journal Article
Journal Article