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The English noun "supervision" derives from the two Latin words "super" (above) and "videre" (see, observe). Spelling. The spelling is "Supervision" in Standard ...
An American poster from the 1940s. A supervisor, or lead, (also known as foreman, boss, overseer, facilitator, monitor, area coordinator, line-manager or sometimes gaffer) is the job title of a lower-level management position and role that is primarily based on authority over workers or a workplace. [1]
Capability of employees: if employees are highly capable, need little supervision, and can be left on their own, e.g., Theory Y type of people, they need not be supervised closely as they are motivated and take initiative to work; as such, the span of control may be broader.
A thesaurus (pl.: thesauri or thesauruses), sometimes called a synonym dictionary or dictionary of synonyms, is a reference work which arranges words by their meanings (or in simpler terms, a book where one can find different words with similar meanings to other words), [1] [2] sometimes as a hierarchy of broader and narrower terms, sometimes simply as lists of synonyms and antonyms.
Tendency for a task to employ supervised vs. unsupervised methods. Task names straddling circle boundaries is intentional. It shows that the classical division of imaginative tasks (left) employing unsupervised methods is blurred in today's learning schemes. There are several ways in which the standard supervised learning problem can be ...
3. Use an online retirement calculator. Now it’s time to zoom in a little. To get a clearer snapshot of your progress, use an online retirement calculator.
A synonym is a word, morpheme, or phrase that means precisely or nearly the same as another word, morpheme, or phrase in a given language. [2] For example, in the English language , the words begin , start , commence , and initiate are all synonyms of one another: they are synonymous .
Latent spaces are usually fit via machine learning, and they can then be used as feature spaces in machine learning models, including classifiers and other supervised predictors. The interpretation of the latent spaces of machine learning models is an active field of study, but latent space interpretation is difficult to achieve.