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  1. 1141
    “…Because the novel distribution provides a number of advantages, like the reality that its cumulative distribution function and probability density function both have a closed form, it is very useful in a wide range of disciplines that are related to data science. One of these fields is machine learning, which is a sub field of data science. …”
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    Online Artículo Texto
    Weighted power Maxwell distribution: Statistical inference and COVID-19 applications
  2. 1142
    “…By applying computational methods including data science and machine learning, new perspectives for analyzing and understanding diseases become possible.…”
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    Online Artículo Texto
    Imaging bridges pathology and radiology
  3. 1143
    por Ahmed, Toufique, Uddin, Shihab
    Publicado 2023
    “…But unfortunately, there is no attempt to utilize machine learning or data science in weaving production. Although a variety of scopes are there to implement statistical analysis, data science, and machine learning. …”
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    Online Artículo Texto
    Textile weaving dataset for machine learning to predict rejection and production of a weaving factory
  4. 1144
    por Albertsson, Kim, Altoe, Piero, Anderson, Dustin, Anderson, John, Andrews, Michael, Araque Espinosa, Juan Pedro, Aurisano, Adam, Basara, Laurent, Bevan, Adrian, Bhimji, Wahid, Bonacorsi, Daniele, Burkle, Bjorn, Calafiura, Paolo, Campanelli, Mario, Capps, Louis, Carminati, Federico, Carrazza, Stefano, Chen, Yi-fan, Childers, Taylor, Coadou, Yann, Coniavitis, Elias, Cranmer, Kyle, David, Claire, Davis, Douglas, De Simone, Andrea, Duarte, Javier, Erdmann, Martin, Eschle, Jonas, Farbin, Amir, Feickert, Matthew, Castro, Nuno Filipe, Fitzpatrick, Conor, Floris, Michele, Forti, Alessandra, Garra-Tico, Jordi, Gemmler, Jochen, Girone, Maria, Glaysher, Paul, Gleyzer, Sergei, Gligorov, Vladimir, Golling, Tobias, Graw, Jonas, Gray, Lindsey, Greenwood, Dick, Hacker, Thomas, Harvey, John, Hegner, Benedikt, Heinrich, Lukas, Heintz, Ulrich, Hooberman, Ben, Junggeburth, Johannes, Kagan, Michael, Kane, Meghan, Kanishchev, Konstantin, Karpiński, Przemysław, Kassabov, Zahari, Kaul, Gaurav, Kcira, Dorian, Keck, Thomas, Klimentov, Alexei, Kowalkowski, Jim, Kreczko, Luke, Kurepin, Alexander, Kutschke, Rob, Kuznetsov, Valentin, Köhler, Nicolas, Lakomov, Igor, Lannon, Kevin, Lassnig, Mario, Limosani, Antonio, Louppe, Gilles, Mangu, Aashrita, Mato, Pere, Narain, Meenakshi, Meinhard, Helge, Menasce, Dario, Moneta, Lorenzo, Moortgat, Seth, Neubauer, Mark, Newman, Harvey, Otten, Sydney, Pabst, Hans, Paganini, Michela, Paulini, Manfred, Perdue, Gabriel, Perez, Uzziel, Picazio, Attilio, Pivarski, Jim, Prosper, Harrison, Psihas, Fernanda, Radovic, Alexander, Reece, Ryan, Rinkevicius, Aurelius, Rodrigues, Eduardo, Rorie, Jamal, Rousseau, David, Sauers, Aaron, Schramm, Steven, Schwartzman, Ariel, Severini, Horst, Seyfert, Paul, Siroky, Filip, Skazytkin, Konstantin, Sokoloff, Mike, Stewart, Graeme, Stienen, Bob, Stockdale, Ian, Strong, Giles, Sun, Wei, Thais, Savannah, Tomko, Karen, Upfal, Eli, Usai, Emanuele, Ustyuzhanin, Andrey, Vala, Martin, Vasel, Justin, Vallecorsa, Sofia, Verzetti, Mauro, Vilasís-Cardona, Xavier, Vlimant, Jean-Roch, Vukotic, Ilija, Wang, Sean-Jiun, Watts, Gordon, Williams, Mike, Wu, Wenjing, Wunsch, Stefan, Yang, Kun, Zapata, Omar
    Publicado 2018
    “…In this document we discuss promising future research and development areas in machine learning in particle physics with a roadmap for their implementation, software and hardware resource requirements, collaborative initiatives with the data science community, academia and industry, and training the particle physics community in data science. …”
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    Machine Learning in High Energy Physics Community White Paper
  5. 1145
    por Idris, Ivan
    Publicado 2014
    “…This book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. …”
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    Python data analysis
  6. 1146
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    NVidia Tutorial
  7. 1147
    “…This approach to modeling enantioselectivity is compared with conventional approaches, including exclusive use of DFT energies and data science approaches, using features from ligands or ground states with neural network architectures.…”
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    Online Artículo Texto
    Feed-Forward Neural Network for Predicting Enantioselectivity of the Asymmetric Negishi Reaction
  8. 1148
    “…The relative ease of collaborative data science and analysis has led to a proliferation of many thousands or millions of versions of the same datasets in many scientific and commercial domains, acquired or constructed at various stages of data analysis across many users, and often over long periods of time. …”
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    Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff
  9. 1149
    “…Data science has made great strides in harnessing the power of big data to improve human life across a broad spectrum of disciplines. …”
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    Online Artículo Texto
    Including Vulnerable Populations in the Assessment of Data From Vulnerable Populations
  10. 1150
    “…With the interactive features in the viromeBrowser we aim to enable scientists without a data science background to compare and extract annotation data and sequences from virome sequencing analysis results.…”
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    viromeBrowser: A Shiny App for Browsing Virome Sequencing Analysis Results
  11. 1151
    “…The informal education setting at a Research I Institution provides avenues to connect diverse learners to visually engaging computational thinking and data science curricula to understand emerging teaching and learning approaches. …”
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    Development of a Pandemic Awareness STEM Outreach Curriculum: Utilizing a Computational Thinking Taxonomy Framework
  12. 1152
    “…An overview of the IoT from the perspectives of big data, data science, and network science disciplines and also connecting technologies is given. …”
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    A Step toward Next-Generation Advancements in the Internet of Things Technologies
  13. 1153
    por Taieb, David
    Publicado 2018
    “…Industry expert David Taieb shows you how to bridge data science and the power of programming and algorithms in Python, so you can work with complex algorithms, ...…”
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    Data analysis with Python: a modern approach
  14. 1154
    “…The 18-month Advanced Data Science Workshop, initiated in 2019, involves project-based learning, online training modules, and data collection. …”
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    Online Artículo Texto
    Convergence research and training in computational bioengineering: a case study on AI/ML driven biofilm-material interaction discovery
  15. 1155
    “…Electronic health records (EHRs) have been successfully used in data science and machine learning projects. However, most of these data are collected for clinical use rather than for retrospective analysis. …”
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    Online Artículo Texto
    Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities
  16. 1156
    por Dr. LOUPPE, Gilles
    Publicado 2015
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    Response
  17. 1157
    por Jolly, Kevin
    Publicado 2018
    “…Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free.…”
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    Hands-on data visualization with Bokeh: interactive web plotting for Python using Bokeh
  18. 1158
    por Galea, Alex, Capelo, Luis
    Publicado 2018
    “…Getting started with data science can be overwhelming, even for experienced developers. …”
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    Applied deep learning with Python: use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
  19. 1159
    por Witkov, Carey, Zengel, Keith
    Publicado 2019
    “…This text makes this data analysis method accessible to students in introductory physics lab courses and others who need to learn this method, such as beginning researchers in astrophysics and beginners in data science.…”
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    Chi-squared data analysis and model testing for beginners
  20. 1160
    “…Code4ML dataset can help address a number of software engineering or data science challenges through a data-driven approach. …”
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    Online Artículo Texto
    Code4ML: a large-scale dataset of annotated Machine Learning code
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