Tags
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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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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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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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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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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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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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 comprehensive collection of related data organized for convenient access, generally associated with software to update and query the data.
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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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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).
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Seaborn is a statistical data visualization library for Python.
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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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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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Descriptive statistics summarize features of a sample, such as mean and standard deviations, median and quartiles, the maximum and minimum. With multiple variables, may include correlations and crosst…
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Industrial strength Natural Language Processing (NLP) with Python and Cython
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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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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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Perceptron is a basic linear classifier that outputs binary labels.
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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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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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