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Charles, Vincent: Why data analytics is an art. - London: Oxford University Press, 2022. - 4 S. In: Significance (Oxford, England). (2022) S. 42-45, ISSN 1740-9705
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Foreman-Mackey, Daniel: Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series. - Madison: The American Astronomical Society, 2017. - 21 S. In: The Astronomical journal. (2017) S. 220, ISSN 0004-6256
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Systems, Mobile Information: Retracted: Analysis of the Dilemmas and Countermeasures Brought by Data Analysis Based on Short Online Videos on Civic and Political Work. - Amsterdam: Hindawi, 2023 In: Mobile information systems. (2023) S. 1-1, ISSN 1574-017X
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Hellman, E.: OA4‐AM23‐SN‐18 | Source Plasma Collection Using a Novel, Technology‐Enabled Nomogram: A Large‐Scale Real‐World Data Analysis. - Bethesda: Wiley Subscription Services, Inc, 2023 In: Transfusion (Philadelphia, Pa.). (2023) S. 44A-45A, ISSN 0041-1132
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Walmsley, Mike: Practical galaxy morphology tools from deep supervised representation learning. - United States: Oxford University Press, 2022 In: Monthly notices of the Royal Astronomical Society. (2022) S. 1581-1599, ISSN 0035-8711
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Perley, Daniel A.: Fully Automated Reduction of Longslit Spectroscopy with the Low Resolution Imaging Spectrometer at the Keck Observatory. - Philadelphia: The Astronomical Society of the Pacific, 2019. - 19 S. In: Publications of the Astronomical Society of the Pacific. (2019) S. 84503, ISSN 0004-6280
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Perez-Montero, E.: Deriving model-based Te-consistent chemical abundances in ionized gaseous nebulae, 2014 In: Monthly notices of the Royal Astronomical Society. (2014) S. 2663-2675, ISSN 0035-8711
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VanderPlas, Jacob T.: Understanding the Lomb-Scargle Periodogram. - Saskatoon: The American Astronomical Society, 2018. - 28 S. In: The Astrophysical journal. Supplement series. (2018) S. 16, ISSN 0067-0049
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Jetty, Anuradha: How Primary Care Utilization Patterns Changed Over the Decade: American Academy of Family Physicians, 2023 In: Annals of family medicine. (2023), ISSN 1544-1709
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Kljujic, Dragan: Developing a profile of first year family medicine (FM) residents in Canada: Perceptions and practice intentions 2017-2022: American Academy of Family Physicians, 2023 In: Annals of family medicine. (2023), ISSN 1544-1709
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Oakley, Jee: Factors associated with COVID-19 vaccination in a national network of primary care safety net clinics: American Academy of Family Physicians, 2023 In: Annals of family medicine. (2023), ISSN 1544-1709
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Wang, Maojun: A global survey of alternative splicing in allopolyploid cotton : landscape, complexity and regulation. - England: New Phytologist Trust, 2018. - 16 S. In: The New phytologist. (2018) S. 163-178, ISSN 0028-646X
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Mucesh, S: A machine learning approach to galaxy properties: joint redshift–stellar mass probability distributions with Random Forest. - United States: Oxford University Press, 2021 In: Monthly notices of the Royal Astronomical Society. (2021) S. 2770-2786, ISSN 0035-8711
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Westmeier, T: sofia 2 – an automated, parallel H i source finding pipeline for the WALLABY survey: Oxford University Press, 2021 In: Monthly notices of the Royal Astronomical Society. (2021) S. 3962-3976, ISSN 0035-8711
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Momcheva, Ivelina G.: THE 3D-HST SURVEY: HUBBLE SPACE TELESCOPE WFC3/G141 GRISM SPECTRA, REDSHIFTS, AND EMISSION LINE MEASUREMENTS FOR ∼100,000 GALAXIES. - United States: The American Astronomical Society, 2016. - 35 S. In: The Astrophysical journal. Supplement series. (2016) S. 27-27, ISSN 0067-0049
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Law, David R.: THE DATA REDUCTION PIPELINE FOR THE SDSS-IV MaNGA IFU GALAXY SURVEY. - United States: The American Astronomical Society, 2016. - 35 S. In: The Astronomical journal. (2016) S. 83-83, ISSN 0004-6256
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Mandelis, Andreas: Scientific graphing software. - New York: American Institute of Physics, 2022 In: Physics today. (2022) S. 58, ISSN 0031-9228
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Walmsley, Mike: Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. - United States: Oxford University Press, 2022 In: Monthly notices of the Royal Astronomical Society. (2022) S. 3966-3988, ISSN 0035-8711
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Kamilaris, Andreas: A review on the practice of big data analysis in agriculture. - Amsterdam: Elsevier B.V, 2017 In: Computers and electronics in agriculture. (2017) S. 23-37, ISSN 0168-1699
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