is a timeline of machine learning. Major discoveries, achievements, milestones and other major events in machine learning are included. History of artificial...

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...

outline is provided as an overview of, and topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence within computer...

a timeline of artificial intelligence, sometimes alternatively called synthetic intelligence. Timeline of machine translation Timeline of machine learning...

Quantum machine learning (QML) is the study of quantum algorithms which solve machine learning tasks. The most common use of the term refers to quantum...

timeline of machine translation. For a more detailed qualitative account, see the history of machine translation page. Timeline of machine learning Hutchins...

In machine learning, deep learning focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation...

processing Outline of artificial intelligence Progress in artificial intelligence Timeline of artificial intelligence Timeline of machine learning The Lambda...

field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and...

interpretable AI or explainable machine learning (XML), is a field of research that explores methods that provide humans with the ability of intellectual oversight...

Artificial intelligence and machine learning have become key enablers to leverage data in production in recent years due to a number of different factors: More...

In computer science, incremental learning is a method of machine learning in which input data is continuously used to extend the existing model's knowledge...

Machine learning in bioinformatics is the application of machine learning algorithms to bioinformatics, including genomics, proteomics, microarrays, systems...

machine learning (ML) (including deep learning) methods to the study of quantum systems is an emergent area of physics research. A basic example of this...

of machine learning) from the research and corporate communities led to a dramatic increase in funding and investment, leading to the current (as of 2025[update])...

Correct Learning (PAC Learning), a framework for the mathematical analysis of machine learning. Symbolic machine learning encompassed more than learning by...

websites. Fakes can be created using image editing software or through machine learning. Fake images created using the latter method are called deepfakes....

computational cognitive models demands the combination of symbolic reasoning and efficient machine learning. Gary Marcus argued, "We cannot construct rich cognitive...

of machine learning (ML) in earth sciences include geological mapping, gas leakage detection and geological feature identification. Machine learning is...

In deep learning, a multilayer perceptron (MLP) is a name for a modern feedforward neural network consisting of fully connected neurons with nonlinear...

open-source platform for machine learning and MLOps on Kubernetes introduced by Google. The different stages in a typical machine learning lifecycle are represented...

era is marked by significant advancements in machine learning, data processing, and the application of AI in solving complex problems and automating...

languages#2020s Timeline of machine learning Timeline of hypertext technology[needs update] Timeline of artificial intelligence History of supercomputing...

ability very quickly, although such machine learning systems do not recursively improve their fundamental architecture. One of the earliest authors to express...

the Potential Risk of Silent Suffering in the Conscious AI". Proceedings of the 41st International Conference on Machine Learning. PMLR. Archived from...

Devesh (1 October 2023). "Improving BHP project delivery timelines with Machine Learning Operations and Cloud Technology". International Congress on...

processing, speech recognition, machine vision, probabilistic logic, planning, reasoning, many forms of machine learning) into an AI assistant that learns...

Bodroža Artificial intelligence Automated machine learning – Process of automating the application of machine learning BRAIN Initiative – Public-private research...

loosely coupled Coordination of the actions and communication of the nodes Subsamples of large data sets and online machine learning There are many reasons...

powerful, which allowed machine learning and artificial neural networks to help in the music industry by giving AI large amounts of data to learn how music...