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.
Methods and principles of building "computer systems that automatically improve with experience."
7780 questions
Use for data science questions related to the programming language Python. Not intended for general coding questions (-> stackoverflow).
4509 questions
composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows informati…
3254 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…
3174 questions
An instance of supervised learning that identifies the category or categories which a new instance of dataset belongs.
2120 questions
a minimalist, highly modular neural network library written in Python.
2015 questions
a Python module comprising of simple and efficient tool for machine learning, data mining and data analysis. It is built on NumPy, SciPy, and matplotlib. It is distributed under the 3-…
1496 questions
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…
1448 questions
a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP…
1358 questions
a free, open-source programming language and software environment for statistical computing, bioinformatics, and graphics.
1205 questions
data observed over time (either in continuous time or at discrete time periods).
1150 questions
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
1013 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…
1007 questions
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
991 questions
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…
959 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.…
953 questions
Statistical techniques used for predicting outcomes.
893 questions
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…
853 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.
811 questions
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…
732 questions
Methods and principles of selecting a subset of attributes for use in further modelling
617 questions
Questions mostly concerned with managing data, without focus on pre-processing or modelling.
543 questions
a machine-learning classifier based on choosing random subsets of variables for each tree and using the most frequent tree output as the overall classification.
533 questions
For questions about image classification: a decision problem where an algorithm must decide to which class ('cat', 'chair', 'tree') an input image belongs.
528 questions
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…
507 questions
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
500 questions
Refers to a subset of data mining concerned with extracting information from data in the form of text by recognizing patterns. The goal of text mining is often to classify a given document into one of…
500 questions
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.
491 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.)…
482 questions
Area of machine learning concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward.
474 questions
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
454 questions
a class of artificial neural network where connections between units form a directed cycle.
453 questions
For questions regarding "Convolutional Neural Networks" (CNN)
450 questions
For questions related to the eXtreme Gradient Boosting algorithm.
438 questions
the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The ch…
433 questions
a popular supervised machine learning algorithm that can be used for classification or regression.
429 questions
