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.
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of da…
11518 questions
Use for data science questions related to the programming language Python. Not intended for general coding questions (which should be asked on Stack Overflow).
6729 questions
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hi…
4922 questions
Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows informati…
4384 questions
An instance of supervised learning that identifies the category or categories which a new instance of dataset belongs.
3296 questions
Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP…
2761 questions
Keras is a popular, open-source deep learning API for Python built on top of TensorFlow and is useful for fast implementation. Topics include efficient low-level tensor operations, computation of arbi…
2723 questions
scikit-learn is a popular machine learning package for Python that has simple and efficient tools for predictive data analysis. Topics include classification, regression, clustering, dimensionality re…
2323 questions
TensorFlow is an open source library for machine learning and machine intelligence. TensorFlow uses data flow graphs with tensors flowing along edges. For details, see https://www.tensorflow.org. Te…
2168 questions
Time series are data observed over time (either in continuous time or at discrete time periods).
1886 questions
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
1621 questions
A dataset is a collection of data, often in tabular or matrix form.
This tag is NOT intended for data requests ("where can I find a dataset about ...") --> see OpenData
1532 questions
R is a free, open-source programming language and software environment for statistical computing, bioinformatics, and graphics.
1481 questions
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than t…
1400 questions
Convolutional Neural Networks (CNN, also called ConvNets) are a tool used for classification tasks and image recognition. The name giving first step is the extraction of features from the input data.…
1372 questions
pandas is a python library for Panel Data manipulation and analysis, e.g. multidimensional time series and cross-sectional data sets commonly found in statistics, experimental science results, econome…
1344 questions
Statistical techniques used for predicting outcomes.
1205 questions
An activity that seeks patterns in large, complex data sets. It usually emphasizes algorithmic techniques, but may also involve any set of related skills, applications, or methodologies with that goal…
1187 questions
LSTM stands for Long Short-Term Memory. When we use this term most of the time we refer to a recurrent neural network or a block (part) of a bigger network.
1180 questions
Statistics is a scientific approach to inductive inference and prediction based on probabilistic models of the data. By extension, it covers the design of experiments and surveys to gather data for th…
1143 questions
Methods and principles of selecting a subset of attributes for use in further modelling
981 questions
Random forest is a machine learning ensemble method based on choosing random subsets of observations and variables for each of many decision trees.
870 questions
Questions mostly concerned with managing data, without focus on pre-processing or modelling.
867 questions
A machine learning model is a simplified representation of a dataset, derived from statistics in the data, used to make predictions. It can represent patterns, behaviours or features within this datas…
848 questions
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
783 questions
Data cleaning is a preliminary step to statistical analysis in which the data-set is edited to correct errors and to put it into a form suitable for processing by statistical software.
768 questions
A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one wa…
757 questions
For questions about image classification: a decision problem where an algorithm must decide to which class ('cat', 'chair', 'tree') an input image belongs.
751 questions
A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle.
744 questions
Pytorch is an open source library for Tensors and Dynamic neural networks in Python
with strong GPU acceleration. For details, see https://pytorch.org.
739 questions
A convolutional neural network is a form of neural network with an additional convolutional layer, typically used in image & audio analysis. The convolutional layer is essentially a filtering stage de…
730 questions
For questions related to the eXtreme Gradient Boosting algorithm.
717 questions
Constructing meaningful and useful graphical representations of data. (If your question is only about how to get particular software to produce a specific effect, then it is likely not on topic here.)…
706 questions
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
705 questions
Training is the part of machine learning whereby a model is "trained" on a define portion of a dataset to learn attributes and statistical features of the data. It's counterparts are called Testing an…
701 questions
Questions about the organization of elements of data, and the standardization of their relations.
686 questions