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Active Learning
Type of machine learning where the model is trained on the data it considers most relevant, by prioritising the instances which are considered to be the most useful, and in that way reduce the data needs.
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A deep learning model is a trained model using a neural network architecture or a set of labeled labelled data that contains multiple layers.
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A language model based on neural networks, exploiting their ability to learn distributed representations to reduce the need for huge numbers of training examples when learning highly complex functions.
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Pattern
A Patters are descriptive sentence sentences which assists assist the model in understanding and better detecting your label.
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