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Excel for the web is a free lightweight version of Microsoft Excel available as part of Office on the web, which also includes web versions of Microsoft Word and Microsoft PowerPoint. Excel for the web can display most of the features available in the desktop versions of Excel, although it may not be able to insert or edit them.
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The agency was founded by Sharon Lee Thony, who built its business using Fiverr. [22] In February 2021, Fiverr acquired the creative talent marketplace Working Not Working. [23] In October 2021, Fiverr acquired the education and training platform CreativeLive. [24] In November 2021, Fiverr acquired the freelance management platform Stoke Talent ...
Prior to the release of Power Pivot, the engine for Microsoft's Business Intelligence suite was exclusively contained within SQL Server Analysis Services.In 2006, an initiative was launched by Amir Netz of the SQL Server Reporting Services team at Microsoft, codenamed Project Gemini, with the goal of making the analytical features of SSAS available within Excel.
The term freelancer is commonly attributed to Sir Walter Scott (1771–1832) in Ivanhoe (1820) to describe a "medieval mercenary warrior" or "free-lance" (indicating that the lance is not sworn to any lord's services, not that the lance is available free of charge). [42]
Freelancer has acquired several crowdsourcing marketplaces including Get A Freelancer.com and EUFreelance.com (founded by Magnus Tibell in 2004, Sweden), [4] Scriptlance.com (founded by Rene Trescases in 2001, Canada) [5] - one of the early pioneers in freelancing, Freelancer.de Booking Center (Germany), Freelancer.co.uk (United Kingdom), [6] Webmaster-talk.com (USA), a forum for webmasters ...
In stochastic processes, chaos theory and time series analysis, detrended fluctuation analysis (DFA) is a method for determining the statistical self-affinity of a signal. It is useful for analysing time series that appear to be long-memory processes (diverging correlation time, e.g. power-law decaying autocorrelation function) or 1/f noise.
The training phase of the algorithm consists only of storing the feature vectors and class labels of the training samples. In the classification phase, k is a user-defined constant, and an unlabeled vector (a query or test point) is classified by assigning the label which is most frequent among the k training samples nearest to that query point.