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  2. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  3. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...

  4. W3Schools - Wikipedia

    en.wikipedia.org/wiki/W3Schools

    W3Schools is a freemium educational website for learning coding online. [1] [2] Initially released in 1998, it derives its name from the World Wide Web but is not affiliated with the W3 Consortium. [3] [4] [unreliable source] W3Schools offers courses covering many aspects of web development. [5] W3Schools also publishes free HTML templates.

  5. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    A cloud-based architecture for enabling big data analytics. Data flows from various sources, such as personal computers, laptops, and smart phones, through cloud services for processing and analysis, finally leading to various big data applications. Cloud computing can offer access to large amounts of computational power and storage. [30]

  6. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    In many big data projects, there is no large data analysis happening, but the challenge is the extract, transform, load part of data pre-processing. [ 224 ] Big data is a buzzword and a "vague term", [ 225 ] [ 226 ] but at the same time an "obsession" [ 226 ] with entrepreneurs, consultants, scientists, and the media.

  7. NoSQL - Wikipedia

    en.wikipedia.org/wiki/NoSQL

    [6] [7] NoSQL databases are increasingly used in big data and real-time web applications. [ 8 ] Motivations for this approach include simplicity of design , simpler "horizontal" scaling to clusters of machines (which is a problem for relational databases), [ 5 ] finer control over availability , and limiting the object-relational impedance ...

  8. Alluxio - Wikipedia

    en.wikipedia.org/wiki/Alluxio

    Initially as research project "Tachyon", Alluxio was created at the University of California, Berkeley's AMPLab as Haoyuan Li's Ph.D. Thesis, [2] advised by Professor Scott Shenker & Professor Ion Stoica. Alluxio is situated between computation and storage in the big data analytics stack. It provides a data abstraction layer for computation ...

  9. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]