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t. e. Wikipedia offers several ways to group articles: categories, list articles (including item lists, as well as topical glossary, index, outline, and timeline articles), other lists including embedded lists, and navigation templates (of which article series boxes are one type). The grouping of articles by one method neither requires nor ...
Template data. This is the TemplateData for this template used by TemplateWizard, VisualEditor and other tools. Click here to see a monthly parameter usage report for this template in articles based on this TemplateData. TemplateData for Cleanup image. Adds a general "fix-this-image" tag. Please give a reason.
Decisional balance sheet. A decisional balance sheet or decision balance sheet is a tabular method for representing the pros and cons of different choices and for helping someone decide what to do in a certain circumstance. It is often used in working with ambivalence in people who are engaged in behaviours that are harmful to their health (for ...
A number of Wikipedia articles contain pro and con lists: lists of arguments for and against some particular contention or position.These take several forms, including lists of advantages and disadvantages of a technology; pros and cons of a proposal which may be technical Wi-Fi or otherwise; and lists of criticisms and defenses of a political position or other view (such as socialism or ...
Pros and cons Pros. Easy hire: Those meeting technical requirements for the type of work are often virtually guaranteed a job without a selection process. In this sense, it could be argued that it would be easier to find work as a temporary worker.
Syntax. The basic syntax uses {{Cleanup image captions|date=August 2023}} with the current month and year.. Parameters | date = is the only required parameter – dated subcategories depend on its use; for example: Image captions for cleanup from December 2020 – if the template is used without "|date=", a bot will append it in place and correct the omission
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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