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2014-05-28
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The way I view it: 'Classification' (in the context of machine learning) is a type of problem in which you assign a 'label' to an object. Formally, 'Classification' is a type of problem whereas labeling is a function from an object to a set of labels (maybe infinite).
Data labeling, in the context of machine learning, is the process of detecting and tagging data samples. The process can be manual but is usually performed or assisted by software.
Labeled data is a designation for pieces of data that have been tagged with one or more labels identifying certain properties or characteristics, or classifications or contained objects. Labels make that data specifically useful in certain types of machine learning known as supervised machine learning setups.
Data labeling is the manual curation of data by humans on machine learning and AI applications. Roughly we call it supervised machine learning because computers need human supervision to get trained to execute tasks that are tricky for machines, but definitely easy for humans such as image recognition.
Labelling or using a label is describing someone or something in a word or short phrase. For example, describing someone who has broken a law as a criminal. Labelling theory is a theory in sociology which ascribes labelling of people to control and identification of deviant behavior.
1) Start Microsoft Word. 2) Click the New Document button. 3) From the Tools menu, select Letters and Mailings, then select Envelopes and Labels. 4) Select the Labels tab, click Options, select the type of labels you want to create and then click OK. 5) Click New Document.
Step 1: Go Online. Open Avery Design & Print Online. Step 2: Enter Your Product Number. Step 3: Choose Your Template. Step 4: Personalize Your Labels. Step 5: Apply the Design to Individual Labels, or to All. Step 6: Preview & Print. Step 7: Save. Step 8: Continue to Create.
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