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User reviews on Amazon are anonymous, self-published, and unverifiable, and should not be used at all. Amazon is a reliable source for basic information about a work (such as release date, ISBN, etc.), although it is unnecessary to cite Amazon when the work itself may serve as a source for that information (e.g., authors' names and ISBNs).
Celebrity recognition in images [3] [4]; Facial attribute detection in images, including gender, age range, emotions (e.g. happy, calm, disgusted), whether the face has a beard or mustache, whether the face has eyeglasses or sunglasses, whether the eyes are open, whether the mouth is open, whether the person is smiling, and the location of several markers such as the pupils and jaw line.
Rating Description A: Reliable No doubt about the source's authenticity, trustworthiness, or competency.History of complete reliability. B: Usually reliable Minor doubts. History of mostly valid informa
Indexing and classification methods to assist with information retrieval have a long history dating back to the earliest libraries and collections however systematic evaluation of their effectiveness began in earnest in the 1950s with the rapid expansion in research production across military, government and education and the introduction of computerised catalogues.
Her forthcoming memoir, Melania, is the #1 seller in Amazon’s “Books” category, as of Friday afternoon. It is scheduled for an October 8 release. It is scheduled for an October 8 release.
Amazon Alexa, or, Alexa, [2] is a virtual assistant technology largely based on a Polish speech synthesizer named Ivona, bought by Amazon in 2013. [3] [4] It was first used in the Amazon Echo smart speaker and the Amazon Echo Dot, Echo Studio and Amazon Tap speakers developed by Amazon Lab126.
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
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