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× 5477
Methods and principles of building "computer systems that automatically improve with experience."
python× 2940
a general-purpose, dynamic, strongly typed language with many 3rd-party libraries for data science applications.
neural-network× 2356
composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows informati…
deep-learning× 2117
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…
classification× 1530
An instance of supervised learning that identifies the category or categories which a new instance of dataset belongs.
scikit-learn× 1009
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-…
r× 977
a free, open-source programming language and software environment for statistical computing, bioinformatics, and graphics.
tensorflow× 916
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…
nlp× 885
a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP…
data-mining× 835
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…
clustering× 716
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…
dataset× 708
a collection of data, generally represented in tabular form, with columns signifying different variables and rows signify different members of the set.
regression× 669
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
cnn× 550
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.…
pandas× 546
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…
lstm× 522
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.
statistics× 502
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…
feature-selection× 417
Methods and principles of selecting a subset of attributes for use in further modelling
text-mining× 417
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…
bigdata× 373
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…
data× 373
Questions mostly concerned with managing data, without focus on pre-processing or modelling.
random-forest× 370
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.
data-cleaning× 357
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.
linear-regression× 354
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
visualization× 352
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.)…
decision-trees× 349
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…
rnn× 334
a class of artificial neural network where connections between units form a directed cycle.
svm× 321
a popular supervised machine learning algorithm that can be used for classification or regression.
logistic-regression× 312
Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression
reinforcement-learning× 300
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.
