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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.

In machine learning, grid search refers to multiple runs to find the optimal value of parameter(s)/hyperparameter(s) of a model, e.g. mtry for random-forest or alpha, beta, lambda for glm, or C, kerne…
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AI (Artificial Intelligence) is a branch of computer science concerned with creating human-like intelligence in machines (including perception, learning, problem solving and decision making).
Structured Query Language (SQL) is a language for querying databases. Questions should include code examples, table structure, sample data, and a tag for the DBMS implementation (e.g. MySQL, PostgreSQ…
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Comma-Separated Values are a list of plain text values delimited by commas, or a file containing one or more lists in that format.
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Open Source Computer Vision Library (OpenCV) is an open source machine learning library used primarily for computer visions applications. OpenCV contains over 2,500 optimized algorithms (including sta…
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MLP stands for multi-layer perceptron, the most basic kind of neural network. Also called DNN (deep neural network), as opposed to CNN or RNN (convolutional and recurrent neural networks).
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Use for questions about the labels associated with the ground-truth of a dataset. Typically these data points have been labelled by a domain expert and can therefore be assumed to be true, against whi…
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Seaborn is a statistical data visualization library for Python.
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gensim is the python library for topic modelling. multi-dimensional vector representation of words or sentences which preserves semantic meaning is computed through word2vec and doc2vec models.
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A comprehensive collection of related data organized for convenient access, generally associated with software to update and query the data.
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Indicates questions asking about the use and meaning of specific technical words/concepts in statistics.
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Synthetic Minority Oversampling Technique (SMOTE) is an approach used for dealing with imbalanced datasets before running them through machine learning models.
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A pipeline is a sequence of functions (or the equivalent thereof), composed so that the output of one is input for the next, in order to create a compound transformation. Famously, a shell pipeline lo…
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SciPy is a python ecosystem of open-source packages for scientific computation. Some of the core packages include NumPy, SciPy, Matplotlib, IPython, SymPy, and pandas.
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Social network data consists of a collection of "nodes" (which can be any sort of entity - e.g. people, corporations) and "links" (which can be any sort of relationship - e.g. friend, sharing a board …
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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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MNIST is a database of handwritten digits collected by Yann Lecun, a famous computer scientist, when he was working at AT&T-Bell Labs on the problem of automation of check readings for banks. The data…
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Kernel functions are a class of functions which transform the original data into a new space in which the classes of the data are easier to separate by a kernel algorithm.
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Machine translation in a data science context refers to the process of using machine learning techniques to translate input provided in one language into output in another. It includes topics referrin…
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A measure of the angular distance between two vectors. Usually defined as 1-(cosine similarity).
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Industrial strength Natural Language Processing (NLP) with Python and Cython
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pertaining to the geographic location and characteristics of natural or constructed features and boundaries on, above, or below the earth's surface; esp. referring to data that is geographic and spati…
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Gaussian refers to the Gaussian (or Normal) distribution. This is a continuous probability density function and is widely used in statistics.
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Perceptron is a basic linear classifier that outputs binary labels.
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