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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    GitHub repository of the project: Dynatrace This data is not pre-processed AIOps Challenge 2020 Data This data is not pre-processed GitHub repository of the project: Loghub This data is not pre-processed List of repositories: HTML Pages This data is not pre-processed List of HTML pages: Opensift ebooks This data is not pre-processed [409]

  3. Data Version Control (software) - Wikipedia

    en.wikipedia.org/wiki/Data_Version_Control...

    Each experiment represents a variation of a data science project defined by changes in the workspace. Experiments maintain a link to the commit in the current branch (Git HEAD) [31] as their parent or baseline. However, they do not form part of the regular Git tree (unless they are made persistent). [32]

  4. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]

  5. Notebook interface - Wikipedia

    en.wikipedia.org/wiki/Notebook_interface

    Notebook interfaces are widely used for statistics, data science, machine learning, and computer algebra. [ 2 ] At the notebook core is the idea of literate programming tools which "let you arrange the parts of a program in any order and extract documentation and code from the same source file.", [ 3 ] the notebook takes this approach to a new ...

  6. NASA WorldWind - Wikipedia

    en.wikipedia.org/wiki/NASA_Worldwind

    NASA WorldWind SDK Tutorial: This Tutorial was developed by the Institute for Geoinformatics from the University of Münster, Germany. It contains tutorials from setting up an Eclipse environment with the WorldWind API to building polygons from Linked Open Data geographic datasets. It contains important tips from beginners to advanced developers.

  7. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo 's discovery of the moons of Jupiter , as documented in notebooks attributed to Galileo.

  8. List of Apache Software Foundation projects - Wikipedia

    en.wikipedia.org/wiki/List_of_Apache_Software...

    DataLab: platform for creating self-service, exploratory data science environments in the cloud using best-of-breed data science tools; DevLake: development data platform, providing the data infrastructure for developer teams to analyze and improve their engineering productivity; HugeGraph: a large-scale and easy-to-use graph database

  9. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.