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Mostrando 281 - 300 Resultados de 2,335 Para Buscar '"data science"', tiempo de consulta: 0.30s Limitar resultados
  1. 281
    por Makar, Katie, Fry, Kym, English, Lyn
    Publicado 2023
    “…Our exploratory qualitative study had as its research question: What can children learn about citizenship when they engage with data science? The case study in this paper illustrated ways that children’s learning about citizenship were enriched through an age-appropriate data science investigation. …”
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    Online Artículo Texto
    Primary students’ learning about citizenship through data science
  2. 282
    por Hosseini, Morteza, Pereira, David M.
    Publicado 2023
    “…In this work, we employ a data science-based approach to identify, compile, and characterize the diversity of terpenes currently known in a systematic way, in a total of 59,833 molecules. …”
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    Online Artículo Texto
    The Chemical Space of Terpenes: Insights from Data Science and AI
  3. 283
    por Lin, Jing, Ngiam, Kee Yuan
    Publicado 2023
    “…In this review, we focus on the application of data science and AI technology in three areas, including risk prediction and identification of causal single-nucleotide polymorphisms, EHR-based phenotyping and CRISPR guide RNA design. …”
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    Online Artículo Texto
    How data science and AI-based technologies impact genomics
  4. 284
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    Mastering Spark for data science: master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products
  5. 285
    por Janssens, Jeroen
    Publicado 2015
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    Data science at the command line : facing the future with time-tested tools
  6. 286
    por Miller, Thomas W
    Publicado 2015
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    Marketing data science: modeling techniques in predictive analytics with R and Python
  7. 287
    por Zinoviev, Dmitry
    Publicado 2016
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    Python companion to data science: collect, organize, explore, predict, value
  8. 288
    por Wickham, Hadley, Grolemund, Garrett
    Publicado 2016
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    R for data science: import, tidy, transform, visualize, and model data
  9. 289
    por Mailund, Thomas
    Publicado 2017
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    Metaprogramming in R: advanced statistical programming for data science, analysis and finance
  10. 290
    por Jiang, Zhe, Shekhar, Shashi
    Publicado 2017
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    Spatial big data science: classification techniques for Earth observation imagery
  11. 291
    por van der Laan, Mark J, Rose, Sherri
    Publicado 2018
    “…This textbook for graduate students in statistics, data science, and public health deals with the practical challenges that come with big, complex, and dynamic data. …”
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    Targeted learning in data science: causal inference for complex longitudinal studies
  12. 292
    por Vanden Broucke, Seppe, Baesens, Bart
    Publicado 2018
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    Practical web scraping for data science: best practices and examples with Python
  13. 293
    por Bonaccorso, Giuseppe
    Publicado 2018
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    Machine learning algorithms: popular algorithms for data science and machine learning
  14. 294
    por Martin, Taylor
    Publicado 2015
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    Educating data: using data science to improve learning, motivation, and persistence
  15. 295
    por Therriault, Andrew
    Publicado 2016
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    Data and democracy: how political data science is shaping the 2016 elections
  16. 296
    por Kelleher, Andrew, Kelleher, Adam
    Publicado 2019
    “…The typical data science task in industry starts with an “ask” from the business. …”
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    Machine learning in production: developing and optimizing data science workflows and applications
  17. 297
    por Nilmeier, Jerome
    Publicado 2019
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    Data science and engineering at enterprise scale: notebook-driven results and analysis
  18. 298
    “…This volume collects the extended versions of papers presented at the SIS Conference “Statistics and Data Science: new challenges, new generations”, held in Florence, Italy on June 28-30, 2017. …”
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    SIS Conference Statistics and Data Science : New Challenges, New Generations
  19. 299
    por Foss, Greg, Modderman, Paul
    Publicado 2019
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    Practical data science with SAP: machine learning techniques for enterprise data
  20. 300
    “…This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical methods, analysis of asymmetric relational data, and various applications to real data. …”
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    Advanced studies in behaviormetrics and data science: essays in honor of akinori okada
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