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.
For question about recognition of patterns (generally sequence of values following a certain mathematical equation) of any physical quantity.
For questions related to the concept of environment in reinforcement learning and other AI sub-fields.
For questions related to the concept of (intelligent) agents in artificial intelligence.
For questions related to the theory or application of linear regression.
Questions about the analysis of sequential data, often used to analyse audio information or to predict time series.
For questions related to clustering (a usual unsupervised learning technique).
For questions related to neuroevolution (or neuro-evolution) techniques, such as NEAT, that are used to evolve (or train) artificial neural networks (that is, they are used evolve their parameters or …
For questions related to the Bellman equations in the context of reinforcement learning (and other artificial intelligence subfields).
when you're looking for machine learning models that could be used to solve your specific problem.
For questions about binary classification problems, i.e. problems where we want to classify inputs into 1 of 2 classes.
For questions related to the REINFORCE algorithm (or update rule), which is a policy gradient algorithm, that is, an algorithm which estimates the policy directly (that is, without first estimating an…
For questions about application of regularization techniques.
For questions related to the reinforcement learning algorithm called Deep Deterministic Policy Gradient (DDPG).
For questions related to natural language understanding (NLU), which is a subtopic of natural language processing (NLP) that deals with machine reading comprehension. Natural-language understanding is…
For questions related to the multi-armed bandit (MAB) problem, in which a fixed limited set of resources must be allocated between competing (alternative) choices in a way that maximizes their expecte…
For questions related to features in the context of machine learning and, in general, AI.
For question involving probability as related to AI methods. (This tag is for general usage. Feel free to utilize in conjunction with the "math" and more specific probability tags.)
Use for questions related to Data Science aspects of AI. Generally speaking, only basic Data Science questions should be asked on this Stack, ideally involving the fundamental concepts. For more adv…
For questions about algorithms and concepts for the development or use of logical inference capabilities in computers or the use of logical inference to arrive at the most useful AI designs.
For questions regarding the use of the mathematical theory of games (Von Neumann, Morgenstern, Nash etc) in AI. For questions about the use of AI in game design and gaming, use [gaming].
Use for questions related to the social impacts of AI.
For questions about support vector machines (SVMs), which are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.
For questions related to the concept of fine-tuning a model (e.g. neural network), which is very related to and sometimes used as a synonym for transfer learning.
For questions about text classification, the task of assigning predefined categories (or classes) to free-text documents.
Asking for datasets, libraries/APIs or pre-trained models is OFF-topic here, so do NOT use this tag for that. Use this tag when you are interested in any other "resource" (in the context of artificial…
For question about methods of evaluating the performance (e.g. the accuracy) of an artificial intelligence algorithm or model.
For asking about an aspect of the history of AI.
For questions related to the dataset used to train machine learning models, such as neural networks. The training dataset is different from the validation and test datasets, which are used for early s…
For questions related to the concept of feature selection (also known as variable selection or attribute selection), which is the process of selecting a subset of relevant features (a.k.a. variables o…
For questions related to the accuracy metric/measure, which is the number of correct predictions divided by the total number of predictions.
Batch normalization is a technique for improving the speed, performance, and stability of artificial neural networks. Batch normalization is used to normalize the input layer by adjusting and scaling …
For questions related to explainable artificial intelligence (XAI), also known as interpretable AI, which refers to AI techniques that can be trusted and easily understood by humans, which are particu…
For questions about the perceptron learning algorithm in Machine Learning.
For questions about functioning, applications, structure and improvement of performance of hidden layers in a Neural Network.
For questions about chess playing engines such as AlphaZero and Leela, and questions about AI methods and theory related to Chess. (Questions purely about chess are off-topic but can be asked on SE:Ch…
For questions about the applications/clarifications/intuitions/proofs behind the use of statistical methods in AI/ML programs.