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…
9613 questions
Use for data science questions related to the programming language Python. Not intended for general coding questions (-> stackoverflow).
5659 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…
4109 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…
3881 questions
An instance of supervised learning that identifies the category or categories which a new instance of dataset belongs.
2748 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…
2507 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…
2064 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…
1955 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…
1940 questions
Time series are data observed over time (either in continuous time or at discrete time periods).
1499 questions
R is a free, open-source programming language and software environment for statistical computing, bioinformatics, and graphics.
1343 questions
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
1289 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
1242 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.…
1213 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…
1195 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…
1091 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…
1090 questions
Statistical techniques used for predicting outcomes.
1038 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.
1013 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…
934 questions
Methods and principles of selecting a subset of attributes for use in further modelling
821 questions
Random forest is 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.
724 questions
Questions mostly concerned with managing data, without focus on pre-processing or modelling.
689 questions
A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle.
686 questions
For questions about image classification: a decision problem where an algorithm must decide to which class ('cat', 'chair', 'tree') an input image belongs.
683 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…
636 questions
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
615 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…
615 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.
610 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.)…
601 questions
For questions related to the eXtreme Gradient Boosting algorithm.
583 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…
577 questions
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
575 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…
542 questions
Refers to general procedures that attempt to determine the generalizability of a statistical result. Cross-validation arises frequently in the context of assessing how a particular model fit predicts …
534 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.
534 questions