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Mostrando 621 - 640 Resultados de 2,335 Para Buscar '"data science"', tiempo de consulta: 0.56s Limitar resultados
  1. 621
    “…The last 6 years have seen sustained investment in health data science in the United Kingdom and beyond, which should result in a data science community that is inclusive of all stakeholders, working together to use data to benefit society through the improvement of public health and well‐being. …”
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    Our data, our society, our health: A vision for inclusive and transparent health data science in the United Kingdom and beyond
  2. 622
    por Budiharto, Widodo
    Publicado 2021
    “…This paper proposes a data science model for stock prices forecasting in Indonesian exchange based on the statistical computing based on R language and Long Short-Term Memory (LSTM). …”
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    Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)
  3. 623
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    Editorial: Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology With Implications for Artificial Intelligence
  4. 624
    “…This paper evaluates a novel data science workflow to automatically determine KPIs using online data from early development stages without human bias. …”
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    Improved Time Resolved KPI and Strain Characterization of Multiple Hosts in Shake Flasks Using Advanced Online Analytics and Data Science
  5. 625
    por Leonard, Hampton L., Murtadha, Ruqaya, Martinez-Carrasco, Alejandro, Jama, Alina, Müller-Nedebock, Amica Corda, Gil-Martinez, Ana-Luisa, Illarionova, Anastasia, Moore, Anni, Bustos, Bernabe I., Jadhav, Bharati, Huxford, Brook, Storm, Catherine, Towns, Clodagh, Vitale, Dan, Chetty, Devina, Yu, Eric, Grenn, Francis P., Salazar, Gabriela, Rateau, Geoffrey, Iwaki, Hirotaka, Elsayed, Inas, Foote, Isabelle Francesca, Jansen van Rensburg, Zuné, Kim, Jonggeol Jeff, Yuan, Jie, Lake, Julie, Brolin, Kajsa, Senkevich, Konstantin, Wu, Lesley, Tan, Manuela M. X., Periñán, María Teresa, Makarious, Mary B., Ta, Michael, Pillay, Nikita Simone, Betancor, Oswaldo Lorenzo, Reyes-Pérez, Paula R., Alvarez Jerez, Pilar, Saini, Prabhjyot, al-Ouran, Rami, Sivakumar, Ramiya, Real, Raquel, Reynolds, Regina H., Hu, Ruifneg, Abrahams, Shameemah, Rao, Shilpa C., Antar, Tarek, Leal, Thiago Peixoto, Iankova, Vassilena, Scotton, William J., Song, Yeajin, Singleton, Andrew, Nalls, Mike A., Dey, Sumit, Bandres-Ciga, Sara, Blauwendraat, Cornelis, Noyce, Alastair J.
    Publicado 2023
    “…Hackathons are a valuable approach to inspire creative thinking, supplement training in data science, and foster collaborative scientific relationships, which are foundational practices for early-career researchers. …”
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    The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data
  6. 626
    por Barlow, Mike
    Publicado 2015
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    Learning to love data science: explorations of emerging technologies and platforms for predictive analytics, machine learning, digital manufacturing, and supply chain optimization
  7. 627
    por Stephenson, David
    Publicado 2018
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    Big data demystified: how to use big data, data science and AI to make better business decisions and gain competitive advantage
  8. 628
    por Galea, Alex
    Publicado 2018
    “…Applied Data Science with Python and Jupyter teaches you the skills you need for entry-level data science. …”
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    Applied data science with Python and Jupyter: use powerful industry-standard tools to unlock new, actionable insights from your data
  9. 629
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    Soft computing in data science: 5th international conference, SCDS 2019, Iizuka, Japan, August 28-29, 2019, proceedings
  10. 630
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    Data science: 6th international conference, ICDS 2019, Ningbo, China, May 15-20, 2019, revised selected papers
  11. 631
    por Maneth, Sebastian
    Publicado 2015
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    Data science: 30th British international conference on databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015, proceedings
  12. 632
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    Creativity in intelligent technologies and data science: first conference, CIT&DS 2015, Volgograd, Russia, September 15-17, 2015 proceedings
  13. 633
    “…While the data from campaigns in two separate years provide an interesting basis for marine biology research, it also presents new data science challenges, like the the marine image analysis in data form more than one campaign. …”
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    A data science approach for multi-sensor marine observatory data monitoring cold water corals (Paragorgia arborea) in two campaigns
  14. 634
    “…Results and conclusion: MASTER-TBI continues to develop data science-informed systems and techniques to maximise the use of captured high resolution m-sTBI patient neuromonitoring data. …”
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    The Monitoring with Advanced Sensors, Transmission and E-Resuscitation in Traumatic Brain Injury (MASTER-TBI) collaborative: bringing data science to the ICU bedside
  15. 635
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    PERSONALIZED BASELINE RISK STRATIFICATION IN HOSPITALIZED ADULT PATIENTS WITH COVID-19: PATIENT-SIMILARITY-BASED DATA SCIENCE SHEDS SOME LIGHT
  16. 636
    “…This chapter will give an insight of the application of data science in analyzing the latest COVID-19 pandemic and its impact.…”
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    Data science: a survey on the statistical analysis of the latest outbreak of the 2019 pandemic novel coronavirus disease (COVID-19) using ANOVA
  17. 637
    “…Finally, the position of statistics in the subject data science is discussed. Is the term “Data Science” only a modern phrase for statistics? …”
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    Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“
  18. 638
    “…This study examines the acceptability attitude of women and men toward intimate partner violence against women through data science. It discovers and contrasts the frequently co-occurring reasons due to which husbands’ behaviour of beating their wives is believed to be legitimate by both partners in the province of Punjab, Pakistan. …”
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    Unveiling Frequently Co-Occurring Reasons of Attitudinal Acceptance of Intimate Partner Violence against Women: A Behavioral Data Science Perspective
  19. 639
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    Identifying Patterns of Clinical Interest in Clinicians’ Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review
  20. 640
    por Sugomori, Yusuke
    Publicado 2016
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    Java deep learning essentials: dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java
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