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.
a technique to reduce overfitting during the training phase of a neural network.
For questions about Batch Normalization of layer activations in theory and practice, as used in (typically deep) neural networks.
a feature-rich interactive shell for Python, and provides a kernel for frontends such as IPython Notebook and Jupyter Notebook.
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…
Gradient Boosting Machine
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…
In the mathematical discipline of linear algebra, a matrix decomposition or matrix factorization is a factorization of a matrix into a product of matrices.
t-SNE (t-distributed stochastic neighbor embedding) is a technique for dimensionality reduction.
DBSCAN means density-based spatial clustering of applications with noise and is a popular density-based cluster analysis algorithm.
a collection of numbers arranged into a fixed number of rows and columns.
an Open Data Science platform powered by Python.
a numerical computation library for Python. Computations are expressed using a Numpy-like syntax and compiled to run efficiently on either CPU or GPU architectures. Theano uses a mathematica…
Suite of Java libraries for natural language processing (NLP) from Stanford University.
Making use of both unsupervised and supervised learning paradigms to train on a partially labelled dataset.
Field concerned with the allocation (investment) of assets and liabilities over space and time, often under conditions of risk or uncertainty.