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  2. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    MCA is performed by applying the CA algorithm to either an indicator matrix (also called complete disjunctive table – CDT) or a Burt table formed from these variables. [citation needed] An indicator matrix is an individuals × variables matrix, where the rows represent individuals and the columns are dummy variables representing categories of the variables. [1]

  3. List of Python software - Wikipedia

    en.wikipedia.org/wiki/List_of_Python_software

    Yahoo! Groups uses Python "to maintain its discussion groups" [citation needed] YouTube uses Python "to produce maintainable features in record times, with a minimum of developers" [25] Enthought uses Python as the main language for many custom applications in Geophysics, Financial applications, Astrophysics, simulations for consumer product ...

  4. 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 ...

  5. Machine Check Architecture - Wikipedia

    en.wikipedia.org/wiki/Machine_check_architecture

    In computing, Machine Check Architecture (MCA) is an Intel and AMD mechanism in which the CPU reports hardware errors to the operating system.. Intel's P6 and Pentium 4 family processors, AMD's K7 and K8 family processors, as well as the Itanium architecture implement a machine check architecture that provides a mechanism for detecting and reporting hardware (machine) errors, such as: system ...

  6. Chunking (computing) - Wikipedia

    en.wikipedia.org/wiki/Chunking_(computing)

    In data deduplication, data synchronization and remote data compression, Chunking is a process to split a file into smaller pieces called chunks by the chunking algorithm. It can help to eliminate duplicate copies of repeating data on storage, or reduces the amount of data sent over the network by only selecting changed chunks.

  7. Weighted product model - Wikipedia

    en.wikipedia.org/wiki/Weighted_product_model

    The weighted product model (WPM) is a popular multi-criteria decision analysis (MCDA) / multi-criteria decision making (MCDM) method. It is similar to the weighted sum model (WSM) in that it produces a simple score, but has the very important advantage of overcoming the issue of 'adding apples and pears' i.e. adding together quantities measured in different units.

  8. Chunked transfer encoding - Wikipedia

    en.wikipedia.org/wiki/Chunked_transfer_encoding

    In chunked transfer encoding, the data stream is divided into a series of non-overlapping "chunks". The chunks are sent out and received independently of one another. No knowledge of the data stream outside the currently-being-processed chunk is necessary for both the sender and the receiver at any given time.

  9. reStructuredText - Wikipedia

    en.wikipedia.org/wiki/ReStructuredText

    reStructuredText (RST, ReST, or reST) is a file format for textual data used primarily in the Python programming language community for technical documentation.. It is part of the Docutils project of the Python Doc-SIG (Documentation Special Interest Group), aimed at creating a set of tools for Python similar to Javadoc for Java or Plain Old Documentation (POD) for Perl.