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.

101 questions
A model-free reinforcement learning technique.
96 questions
A topic model describes text from a large corpus as a probability distribution over topics which are probability distributions over words. There are quantified contributions from all topics to a speci…
93 questions
a classification algorithm that determines the label of some data point based on the most common label of the closest k other points.
91 questions
a non-linear transformation, usually applied in neural networks to the output of the linear or convolutional layer. Common activation functions: sigmoid, tanh, ReLU, etc.
For questions about models designed for generating new data (or generating samples from a probability distribution).
a collection of environments and protocols for interactive computing. It supports many languages and kernels, and works with frontends including the web application Jupyter Notebook. Jupyte…
87 questions
an algorithm in the field of topic modeling.
85 questions
A comprehensive collection of related data organized for convenient access, generally associated with software to update and query the data.
82 questions
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 …
80 questions
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.
79 questions
Relating to Kaggle competitions, datasets, or kernels.
78 questions
BERT stands for Bidirectional Encoder Representations from Transformers and is designed to pre-train deep bidirectional representations by jointly conditioning on both left and right context in all l…
76 questions
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…
76 questions
a special contingency table used to evaluate the predictive accuracy of a classifier. Predicted classes are listed in rows and actual classes in columns, with counts of respectiv…
74 questions
71 questions
ordering data from highest to lowest or *vice versa.* For questions about *constructing* scores to use in ranking, please use the "valuation" tag, too.
68 questions
68 questions
our generic tag for questions seeking information about books, papers, presentations, videos of lectures, on-line tutorials, etc., regarding any subject matter that is on-topic for Dat…
64 questions
a list of plain text values delimited by commas, or a file containing one or more lists in that format.
64 questions
a basic linear classifier that outputs binary labels.
62 questions
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