Suchergebnisse - (( (stateeeni OR statpoint) python code analysis ) OR ( stat python code analysis ))*
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Autoren: Tarek A. Atwan
Resource Type: eBook.
Schlagworte: Machine learning, Python (Computer program language)
Categories: COMPUTERS / Data Science / Data Modeling & Design, COMPUTERS / Data Science / Data Warehousing, COMPUTERS / Languages / Python
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Autoren:
Relation: https://zenodo.org/records/10120463; oai:zenodo.org:10120463; https://doi.org/10.5281/zenodo.10120463
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Autoren: Yong Cui
Resource Type: eBook.
Categories: COMPUTERS / Languages / Python, COMPUTERS / Data Science / General, COMPUTERS / Internet / Web Programming
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Autoren: et al.
Quelle: Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.
Schlagwörter: *MENTAL depression risk factors, *RISK assessment, *PREDICTION models, *SOCIAL determinants of health, *RECEIVER operating characteristic curves, *QUESTIONNAIRES, *PRIMARY health care, *RETROSPECTIVE studies, *QUANTITATIVE research, *DESCRIPTIVE statistics, *NURSING interventions, *SURVEYS, *HEALTH behavior, *MEDICAL records, *ACQUISITION of data, *SOCIODEMOGRAPHIC factors, *MACHINE learning, *DATA analysis software, *ACCURACY, *COMPARATIVE studies, *SOCIAL classes, *SENSITIVITY & specificity (Statistics), *SOCIAL isolation, *ALGORITHMS, *REGRESSION analysis, *MENTAL depression, *EVALUATION
Geografische Kategorien: FLORIDA
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Autoren: et al.
Quelle: Probiotics and antimicrobial proteins [Probiotics Antimicrob Proteins] 2025 May 21. Date of Electronic Publication: 2025 May 21.
Publikationsart: Journal Article
Info zur Zeitschrift: Publisher: Springer Country of Publication: United States NLM ID: 101484100 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1314 (Electronic) Linking ISSN: 18671306 NLM ISO Abbreviation: Probiotics Antimicrob Proteins Subsets: MEDLINE
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Autoren:
Weitere Verfasser:
Schlagwörter: survival data, missing data, [STAT.AP] Statistics [stat]/Applications [stat.AP], Machine learning, Machine Learning (stat.ML), [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], simulated data, neural networks, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Machine Learning (cs.LG)
Dateibeschreibung: application/pdf
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Autoren:
Quelle: Journal of mathematical biology [J Math Biol] 2025 May 16; Vol. 90 (6), pp. 61. Date of Electronic Publication: 2025 May 16.
Publikationsart: Journal Article; Review
Info zur Zeitschrift: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7502105 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1416 (Electronic) Linking ISSN: 03036812 NLM ISO Abbreviation: J Math Biol Subsets: MEDLINE
MeSH-Schlagworte: Cell Movement*/physiology , Models, Biological*, Phenotype ; Humans ; Mathematical Concepts ; Computer Simulation ; Animals ; Neoplasms/pathology
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Autoren: et al.
Quelle: BMC health services research [BMC Health Serv Res] 2026 Jan 07. Date of Electronic Publication: 2026 Jan 07.
Publikationsart: Journal Article
Info zur Zeitschrift: Publisher: BioMed Central Country of Publication: England NLM ID: 101088677 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1472-6963 (Electronic) Linking ISSN: 14726963 NLM ISO Abbreviation: BMC Health Serv Res Subsets: MEDLINE
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Autoren: et al.
Körperschaften: et al.
Quelle: Internal and emergency medicine [Intern Emerg Med] 2025 Apr 21. Date of Electronic Publication: 2025 Apr 21.
Publikationsart: Journal Article
Info zur Zeitschrift: Publisher: Springer Country of Publication: Italy NLM ID: 101263418 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1970-9366 (Electronic) Linking ISSN: 18280447 NLM ISO Abbreviation: Intern Emerg Med Subsets: MEDLINE
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Autoren: et al.
Quelle: 10.5061/dryad.5fn46 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:figshare.com:article/4152633 ; 10.5061/dryad.5fn46/1 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|re3data_____::7980778c78fb4cf0fab13ce2159030dc ; 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 ; re3data_____::r3d100000044 ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c
Schlagwörter: species abundance distribution, size distributions, trees, Life sciences, medicine and health care, Genetics, Evolutionary Biology, Ecology, Inorganic Chemistry, Science Policy, 69999 Biological Sciences not elsewhere classified, 19999 Mathematical Sciences not elsewhere classified, 29999 Physical Sciences not elsewhere classified, subset, data product, Python code, al, Xiao, Maximum Entropy Theory, analyses, dataset, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, envir, stat
Relation: http://dx.doi.org/10.5061/dryad.5fn46; https://dx.doi.org/10.5061/dryad.5fn46; https://figshare.com/articles/Data_from_A_strong_test_of_the_Maximum_Entropy_Theory_of_Ecology/4152633; http://dx.doi.org/10.5061/dryad.5fn46/1; https://dx.doi.org/10.5061/dryad.5fn46/1
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Autoren: et al.
Quelle: Addiction (Abingdon, England) [Addiction] 2025 May; Vol. 120 (5), pp. 873-883. Date of Electronic Publication: 2025 Jan 12.
Publikationsart: Journal Article
Info zur Zeitschrift: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 9304118 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1360-0443 (Electronic) Linking ISSN: 09652140 NLM ISO Abbreviation: Addiction Subsets: MEDLINE
MeSH-Schlagworte: Alcohol Drinking*/ethnology , Alcohol Drinking*/epidemiology , Alcohol-Related Disorders*/ethnology , Alcohol-Related Disorders*/epidemiology , Alcoholism*/ethnology , Alcoholism*/epidemiology , Ethnicity*/statistics & numerical data , Health Status Disparities*, Adolescent ; Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Black or African American/statistics & numerical data ; Cross-Sectional Studies ; Hispanic or Latino/statistics & numerical data ; United States/epidemiology ; White/statistics & numerical data
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Autoren: et al.
Quelle: Bioinformatics (Oxford, England) [Bioinformatics] 2025 Feb 04; Vol. 41 (2).
Publikationsart: Journal Article
Info zur Zeitschrift: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
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Autoren: et al.
Schlagwörter: Carbonic anhydrase IX, Extracellular pH, Intracellular pH, ISUCA, Magnetic Resonance Spectroscopy, MRS, pH-stat, Tumour pH
Dateibeschreibung: jMRUI http://www.jmrui.eu/ python www.python.org Excel; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/octet-stream
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Autoren:
Quelle: Computer Physics Communications. Nov2022, Vol. 280, pN.PAG-N.PAG. 1p.
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Autoren: et al.
Quelle: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p
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Autoren:
Quelle: Stats, Vol 7, Iss 1, Pp 220-234 (2024)
Schlagwörter: scale-free networks, assortative networks, network rewiring, agent-based models, Bass innovation diffusion model, Statistics, HA1-4737
Dateibeschreibung: electronic resource
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Autoren:
Quelle: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p
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Autoren: et al.
Quelle: oai:easy.dans.knaw.nl:easy-dataset:92256 ; 10.5061/dryad.8b146 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:92256 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; re3data_____::r3d100000044 ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c
Schlagwörter: Life sciences, medicine and health care, face, EEG, multivariate, planar gradient, mutual information, meg, n170, statistics, neuroimaging, stat, psy
Verfügbarkeit: https://doi.org/10.5061/dryad.8b146
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Autoren: K. Erciyes
Resource Type: eBook.
Schlagworte: Algorithms, Python (Computer program language)
Categories: COMPUTERS / Computer Science, COMPUTERS / Programming / Algorithms, COMPUTERS / Languages / Python
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