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  2. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS. It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA). Excel forms part of the Microsoft 365 suite of software.

  3. Wikipedia:Tools/Editing tools - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Tools/Editing_tools

    A very simple Copy & Paste Excel-to-Wiki Converter; A free open source tool to convert from CSV and Excel files to wiki table format: csv2other; Spreadsheet-to-MediaWiki-table-Converter This class constructs a MediaWiki-format table from an Excel/GoogleDoc copy & paste. It provides a variety of methods to modify the style.

  4. Spreadsheet - Wikipedia

    en.wikipedia.org/wiki/Spreadsheet

    A spreadsheet is a computer application for computation, organization, analysis and storage of data in tabular form. [1] [2] [3] Spreadsheets were developed as computerized analogs of paper accounting worksheets. [4] The program operates on data entered in cells of a table. Each cell may contain either numeric or text data, or the results of ...

  5. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  6. Help:Referencing for beginners - Wikipedia

    en.wikipedia.org/wiki/Help:Referencing_for_beginners

    A template window then pops up, where you fill in as much information as possible about the source, and give a unique name for it in the "Ref name" field. Click the "Insert" button, which will add the required wikitext in the edit window. If you wish, you can also "Preview" how your reference will look first.

  7. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices.

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