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 questions related to the concept of feature extraction, which is a set of techniques used to derive or create features from the existing set of features. Feature extraction is different from featu…
For questions about constraint satisfaction problems.
For questions related to model-based reinforcement learning algorithms.
For questions related to features in the context of machine learning and, in general, AI.
For questions related to clustering (a usual unsupervised learning technique).
For questions related to the A* (or A) search algorithm.
Use for question about the emergent "mythology of AI", from Talos in Greek mythology, to Skynet and the technological singularity.
For questions about the security measures against malicious algorithms, and security measures provided by AI algorithms in detecting, mitigating and preventing breaches and malicious activity.
For questions related to (automatic) text summarization, which is the task of producing a concise and fluent summary of a text or document while preserving key information content and the overall me…
For questions about the legal aspects and ramifications due to the creation/use of AI in various fields and applications (also laws in place to regulate the proper use of AI technology).
For questions about processing signals of any physical quantity, with the help of Machine Learning or Artificially Intelligent algorithms.
For questions about sentiment analysis in AI.
For questions regarding various parameters/methods of implementation/improvement/analyzing the safety of an Artificially Intelligent algorithm. A typical real world example is autonomous vehicles.
For questions related to AlphaGo Zero, which is a version of DeepMind's Go software, AlphaGo, that does not use data from human games and it is stronger than AlphaGo. There is a generalized version of…
For questions related to the family of algorithms called "hill climbing" (in the context of AI).
For questions related to the reinforcement learning (on-policy) algorithm called SARSA, which stands for (s, a, r, s', a').
For questions related to the concept of "planning" in AI.
For questions related to the "on-policy" reinforcement learning algorithms.
For questions related to adversarial machine learning, which is a branch of machine learning focused on the study of adversarial examples, which are malicious inputs designed to fool machine learning …
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 the concept of meta-learning (or learning-to-learn).
Use for questions related to use of electronic circuits to mimic neuro-biological architectures present in the nervous system or in neural networks. ("Neuromorphic computing" is sometimes used synonom…
For questions related to Google in the context of AI (e.g. related to Google Translate). Google is an American multinational technology company specializing in internet-related services and products.
For questions related to DeepMind's AlphaGo, which is the first computer Go program to beat a human professional Go player without handicaps on a full-sized 19x19 board. AlphaGo was introduced in the …
For questions related to the time complexity (e.g. in Big-O notation) of AI and ML algorithms.
For questions about implementation of Machine Learning and Artificial Intelligence algorithms in the Java programming language.
An interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective.
For questions about the application of Artificially Intelligent agents and Machine Learning Algorithms in the healthcare industry.
For questions about the use of Markov models in the field of AI/ML.
For questions about meaning. Distinct from syntactics.
For questions related to Thomas Bayes, his work and extension of his work, theory and applications.
For questions related to the concept of Partially Observable Markov Decision Process (POMDP), which is a generalization of the Markov Decision Process (MDP) to the cases where information about the st…
For questions related to the book "Artificial Intelligence: A Modern Approach" by Peter Norvig and Stuart J. Russell.
For questions related to the Python's package scikit-learn (or sklearn).