A tag is a keyword or label that categorizes your question with other, similar questions. Using the right tags makes it easier for others to find and answer your question.

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t-SNE (t-distributed stochastic neighbor embedding) is a technique for dimensionality reduction.
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A field of mathematics concerned with the study of finite dimensional vector spaces, including matrices and their manipulation, which are important in statistics.
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For questions about Batch Normalization of layer activations in theory and practice, as used in (typically deep) neural networks.
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Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic translation of scanned images of handwritten, typewritten or printed text into machine-encoded text.
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Use for questions related to the Transformer (based on encoder-decoder) architecture in machine learning.
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Making use of both unsupervised and supervised learning paradigms to train on a partially labelled dataset.
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DBSCAN means density-based spatial clustering of applications with noise and is a popular density-based cluster analysis algorithm.
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should be used to ask questions about the usage, installation, configuration and upgrade of the RStudio IDE. Questions related to programming in R, Rmarkdown or Shiny should be tagged with th…
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Suite of Java libraries for natural language processing (NLP) from Stanford University.
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Field concerned with the allocation (investment) of assets and liabilities over space and time, often under conditions of risk or uncertainty.
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Azure Machine Learning offers a streamlined experience for all data scientist skill levels, from setting up with only a web browser, to using drag and drop gestures and simple data flow graphs to set …