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Business cards are cards bearing business information about a company or individual. [ 1 ] [ 2 ] They are shared during formal introductions as a convenience and a memory aid. A business card typically includes the giver's name, company or business affiliation (usually with a logo ) and contact information such as street addresses , telephone ...
Solid Converter PDF. Solid Converter PDF is document reconstruction software from Solid Documents which converts PDF files to editable formats. Originally released for the Microsoft Windows operating system, a Mac OS X version was released in 2010. The current versions are Solid Converter PDF 9.0 for Windows and Solid PDF to Word for Mac 2.1.
LibreOffice. Free ( Mozilla Public License) an Office suite; allows to export (and import, with accuracy limitations) PDF files. Microsoft Word 2013. Proprietary. Desktop software. The 2013 edition of Office allows PDF files to be converted into a format that can be edited. Nitro PDF Reader.
Bitcoin (abbreviation: BTC; sign: ₿) is the first decentralized cryptocurrency. Nodes in the peer-to-peer bitcoin network verify transactions through cryptography and record them in a public distributed ledger, called a blockchain, without central oversight.
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Yes. Website. iso .org /standard /75839 .html. Portable Document Format ( PDF ), standardized as ISO 32000, is a file format developed by Adobe in 1992 to present documents, including text formatting and images, in a manner independent of application software, hardware, and operating systems.
Microsoft Word is a word processor program developed by Microsoft.It was first released on October 25, 1983, [9] under the name Multi-Tool Word for Xenix systems. [10] [11] [12] Subsequent versions were later written for several other platforms including: IBM PCs running DOS (1983), Apple Macintosh running the Classic Mac OS (1985), AT&T UNIX PC (1985), Atari ST (1988), OS/2 (1989), Microsoft ...
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...
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