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Subset of artificial intelligence
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn
Machine_learning
Computational model used in machine learning
In machine learning, a neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks
Neural network (machine learning)
Neural_network_(machine_learning)
Interdisciplinary research area
Quantum machine learning (QML) is the study of quantum algorithms for machine learning. It often refers to quantum algorithms for machine learning tasks
Quantum_machine_learning
Machine learning technique
In machine learning, attention is a method that determines the importance of each component in a sequence relative to the other components in that sequence
Attention_(machine_learning)
Academic conference in machine learning
The International Conference on Machine Learning (ICML) is an international academic conference in machine learning held annually since 1980. It is the
International Conference on Machine Learning
International_Conference_on_Machine_Learning
Representation learning technique
In machine learning, embedding is a representation learning technique that maps complex, high-dimensional data into a lower-dimensional vector space of
Embedding_(machine_learning)
Machine learning strategy
Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source)
Active learning (machine learning)
Active_learning_(machine_learning)
Research field that lies at the intersection of machine learning and computer security
Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. Machine learning techniques
Adversarial_machine_learning
Algorithm for modelling sequential data
In deep learning, the transformer is a family of artificial neural network architectures based on the multi-head attention mechanism, in which text is
Transformer_(deep_learning)
Parameter-efficient fine-tuning technique for large language models
gigabytes). The technique applies broadly to any dense layers in deep learning models, though it has been most extensively studied in the context of large
LoRA_(machine_learning)
Phase transition in machine learning
In machine learning, grokking, or delayed generalization, is a phenomenon observed in some settings where a model abruptly transitions from overfitting
Grokking_(machine_learning)
Intelligence of machines
develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize
Artificial_intelligence
Process of acquiring new knowledge
humans, other animals, and some machines. There is also evidence for some kind of learning in certain plants. Some learning is immediate, induced by a single
Learning
amount of computing power or computational resources required to train machine learning models and large language models. More broadly, compute is the computational
Compute_(machine_learning)
Branch of machine learning
In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation
Deep_learning
Ensemble learning method
In machine learning (ML), boosting is an ensemble learning method that combines a set of less accurate models (called "weak learners") to create a single
Boosting_(machine_learning)
Process of automating the application of machine learning
Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. It is the combination
Automated_machine_learning
Set of methods for supervised statistical learning
In machine learning, a support vector machine (SVM) or support vector network is a supervised max-margin model with associated learning algorithms that
Support_vector_machine
Artificial intelligence and machine learning techniques are used in video games for a wide variety of applications such as non-player character (NPC) control
Machine learning in video games
Machine_learning_in_video_games
Machine learning paradigm
In machine learning, supervised learning (SL) is a type of machine learning paradigm where an algorithm learns to map input data to a specific output based
Supervised_learning
Deep learning training framework
Foundation. Horovod was created at Uber as part of the company's internal machine learning platform Michelangelo to simplify scaling TensorFlow models across
Horovod_(machine_learning)
Machine learning methods using multiple input modalities
Multimodal learning is a type of deep learning that integrates and processes multiple types of data, referred to as modalities, such as text, audio, images
Multimodal_learning
Field of machine learning
Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. While supervised learning and
Reinforcement_learning
AI whose outputs can be understood by humans
(XAI), generally overlapping with interpretable AI or explainable machine learning (XML), is a field of research that explores methods that provide humans
Explainable artificial intelligence
Explainable_artificial_intelligence
Concept in machine learning
In statistics and machine learning, leakage (also known as data leakage or target leakage) refers to the use of information during model training that
Leakage_(machine_learning)
Overview of and topical guide to machine learning
outline is provided as an overview of, and topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence within computer
Outline_of_machine_learning
Deep learning software
open-source machine learning library, a scientific computing framework, and a scripting language based on Lua. It provides LuaJIT interfaces to deep learning algorithms
Torch_(machine_learning)
Technique for the generative modeling of a continuous probability distribution
In machine learning, diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable
Diffusion_model
Type of statistical inference
related to transductive learning algorithms. Another example of an algorithm in this category is the Transductive Support Vector Machine (TSVM). A third possible
Transduction (machine learning)
Transduction_(machine_learning)
Measurable property or characteristic
In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. Choosing informative, discriminating
Feature_(machine_learning)
Measurement of algorithmic bias
Fairness in machine learning (ML) refers to the various attempts to correct algorithmic bias in automated decision processes based on ML models. Decisions
Fairness_(machine_learning)
Categorization of data using statistics
are considered to be possible values of the dependent variable. In machine learning, the observations are often known as instances, the explanatory variables
Statistical_classification
page is a timeline of machine learning. Major discoveries, achievements, milestones, and other major events in machine learning are included. History
Timeline_of_machine_learning
Concept in machine learning
In machine learning, the term tensor informally refers to two different concepts: (i) a way of organizing data and (ii) a multilinear (tensor) transformation
Tensor_(machine_learning)
Plot of machine learning model performance over time or experience
In machine learning (ML), a learning curve (or training curve) is a graphical representation that shows how a model's performance on a training set (and
Learning curve (machine learning)
Learning_curve_(machine_learning)
Academic conference in machine learning
The International Conference on Learning Representations (ICLR) is a machine learning conference typically held in late April or early May each year.
International Conference on Learning Representations
International_Conference_on_Learning_Representations
Machine learning technique
In machine learning, normalization is a statistical technique with various applications. There are two main forms of normalization, namely data normalization
Normalization (machine learning)
Normalization_(machine_learning)
Artificial Intelligence, there are multiple subfields. The subfield of machine learning has been used for various scientific and commercial purposes, including
Applications of artificial intelligence
Applications_of_artificial_intelligence
machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Paradigm in machine learning that uses no classification labels
Unsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled
Unsupervised_learning
Parameter controlling the machine learning process
In machine learning, a hyperparameter is a parameter that can be set in order to define any configurable part of a model's learning process. Hyperparameters
Hyperparameter (machine learning)
Hyperparameter_(machine_learning)
Academic journal
Machine Learning is a peer-reviewed scientific journal, published since 1986. In 2001, forty editors and members of the editorial board of Machine Learning
Machine_Learning_(journal)
Artificial intelligence technique
Human Machine Learning (RHML) is an interdisciplinary approach to designing human-AI interaction systems. RHML aims to enable continual learning between
Reciprocal human machine learning
Reciprocal_human_machine_learning
Statistics and machine learning technique
In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from
Ensemble_learning
2020 non-fiction book by Brian Christian
The Alignment Problem: Machine Learning and Human Values is a 2020 non-fiction book by the American writer Brian Christian. It is based on numerous interviews
The_Alignment_Problem
Structure in biology and artificial intelligence
nervous systems – a population of nerve cells connected by synapses. In machine learning, an artificial neural network is a mathematical model used to approximate
Neural_network
Decentralized machine learning
Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients)
Federated_learning
Algorithm for supervised learning of binary classifiers
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether
Perceptron
Type of artificial neural network
learning machines are feedforward neural networks for classification, regression, clustering, sparse approximation, compression and feature learning with
Extreme_learning_machine
Software for understanding biological data
Machine learning in bioinformatics is the application of machine learning algorithms to bioinformatics, including genomics, proteomics, microarrays, systems
Machine learning in bioinformatics
Machine_learning_in_bioinformatics
platforms, and tools used for machine learning, deep learning, natural language processing, computer vision, reinforcement learning, artificial general intelligence
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
Method of machine learning
In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update
Online_machine_learning
Branch of statistics
Wayback Machine." NIPS. 2010. Lopez-Paz, David, et al. "Towards a learning theory of cause-effect inference Archived 13 March 2017 at the Wayback Machine" ICML
Causal_inference
Hardware acceleration unit for artificial intelligence tasks
deep learning processor, is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence and machine learning
Neural_processing_unit
Cloud computing platform by Microsoft
SMA Microsoft Azure Machine Learning (Azure ML) provides tools and frameworks for developers to create their own machine learning and artificial intelligence
Microsoft_Azure
and funding continued to grow under other names. In the early 2000s, machine learning was applied to a wide range of problems in academia and industry. The
History of artificial intelligence
History_of_artificial_intelligence
Machine learning technique
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related
Transfer_learning
Applications of machine learning to quantum physics
Applying machine learning (ML) (including deep learning) methods to the study of quantum systems is an emergent area of physics research. A basic example
Machine_learning_in_physics
Technique to make a model more generalizable and transferable
mathematics, statistics, finance, and computer science, particularly in machine learning and inverse problems, regularization is a process that converts the
Regularization_(mathematics)
Academic journal
The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning. It was established in 2000 and the
Journal of Machine Learning Research
Journal_of_Machine_Learning_Research
Type of feedforward neural network
support for machine learning algorithms, written in C and Lua. Attention (machine learning) Circuit (neural network) Convolution Deep learning Natural-language
Convolutional_neural_network
Machine-learning and computational-neuroscience conference
Conference on Machine Learning Principles and Practice of Knowledge Discovery in Databases, is one of the leading academic conferences on machine learning and knowledge
ECML_PKDD
Anime-focused imageboard website
a large ecosystem of derivative software, related imageboards and machine learning datasets. Danbooru was created in 2005 as an imageboard for sharing
Danbooru
ITU-T recommendation
specifying an architecture for machine learning in future networks including 5G (IMT-2020). The architecture describes a machine learning pipeline in the context
Y.3172
Class of artificial neural network
322 p. Nakano, Kaoru (1971). "Learning Process in a Model of Associative Memory". Pattern Recognition and Machine Learning. pp. 172–186. doi:10.1007/978-1-4615-7566-5_15
Recurrent_neural_network
Processing of natural language by a computer
Word2vec. In the 2010s, representation learning and deep neural network-style (featuring many hidden layers) machine learning methods became widespread in natural
Natural_language_processing
predictive analysis and insight discovery. Artificial intelligence and machine learning have become key enablers to leverage data in production in recent years
Artificial intelligence in industry
Artificial_intelligence_in_industry
AI that learns decision rules from data
Rule-based machine learning (RBML) is a term in computer science intended to encompass any machine learning method that identifies, learns, or evolves
Rule-based_machine_learning
Machine learning technique
(2024). Deep Learning: Computer Vision, Python Machine Learning And Neural Networks. Pastor Publishing Ltd. Abhijeet, Sarkar. Deep Learning Dynamics: The
Fine-tuning_(deep_learning)
Real-time observability platform
provides over 800 integrations for metrics collection, log management, machine learning-based anomaly detection, and AI-assisted troubleshooting. The company
Netdata
Use of machine learning to rank items
Learning to rank (LTR) or machine-learned ranking (MLR) is the application of machine learning, often supervised, semi-supervised or reinforcement learning
Learning_to_rank
Machine learning method to transfer knowledge from a large model to a smaller one
In machine learning, knowledge distillation or model distillation is the process of transferring knowledge from a large model to a smaller one. While large
Knowledge_distillation
List of academic journals in artificial intelligence
the field of artificial intelligence (AI), including areas such as machine learning, computer vision, natural language processing, robotics, and intelligent
List of artificial intelligence journals
List_of_artificial_intelligence_journals
Type of stochastic recurrent neural network
processes. Boltzmann machines with unconstrained connectivity have not been proven useful for practical problems in machine learning or inference, but if
Boltzmann_machine
Deep learning architecture
most relevant expert for each token. Language modeling Transformer (machine learning model) State-space model Recurrent neural network Gu, Albert; Dao,
Mamba (deep learning architecture)
Mamba_(deep_learning_architecture)
capabilities to save time and improve accuracy. Through the use of machine learning, artificial intelligence can substantially aid doctors in patient diagnosis
Artificial intelligence in healthcare
Artificial_intelligence_in_healthcare
are a comparison of machine learning software such as software frameworks, libraries, and computer programs used for machine learning. Apache OpenNLP —
Comparison of machine learning software
Comparison_of_machine_learning_software
Set of statistical processes for estimating the relationships among variables
variable (often called the outcome or response variable, or a label in machine learning parlance) and one or more independent variables (often called regressors
Regression_analysis
Model-free reinforcement learning algorithm
Q-learning is a reinforcement learning algorithm that trains an agent to assign values to its possible actions based on its current state, without requiring
Q-learning
Computer hardware technology that uses quantum mechanics
algorithms that can speed up machine learning tasks. However, review literature notes that many proposed quantum machine-learning advantages rely on assumptions
Quantum_computing
Erroneous AI-generated content
various ways); changes in the training process, such as using reinforcement learning; and post-processing methods that can correct hallucinations in the output
Hallucination (artificial intelligence)
Hallucination_(artificial_intelligence)
Machine learning paradigm
Self-supervised learning (SSL) is a paradigm in machine learning where a model is trained on a task using the data itself to generate supervisory signals
Self-supervised_learning
Type of machine learning model
and performance via collaborative platforms such as Hugging Face. As machine learning algorithms process numbers rather than text, the text must be converted
Large_language_model
Machine learning technique
In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Subfield of control engineering
Marc G. (2001). "Classes of Kernels for Machine Learning: A Statistics Perspective". Journal of Machine Learning Research. 2: 299–312. doi:10.1162/15324430260185646
Fault_detection_and_isolation
Artificial neural networks (ANNs) are models created using machine learning to perform a number of tasks. While the computational implementations of ANNs
History of artificial neural networks
History_of_artificial_neural_networks
Machine learning paradigm using minimal training data
Few-shot learning (FSL) is a problem setup in machine learning in which a model learns to perform a task, typically classification, from only a small
Few-shot_learning
Machine-learning and computational-neuroscience conference
Processing Systems (abbreviated as NeurIPS and formerly NIPS) is a machine learning and computational neuroscience conference held annually in December
Conference on Neural Information Processing Systems
Conference_on_Neural_Information_Processing_Systems
Open-source machine-learning software library
Flux is an open-source machine-learning software library and ecosystem written in Julia. Its current stable release is v0.16.5 . It has a layer-stacking-based
Flux (machine-learning framework)
Flux_(machine-learning_framework)
Machine learning algorithm
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or
Decision_tree_learning
Branch of neuroscience
quantitative psychology, machine learning, artificial neural networks, artificial intelligence and computational learning theory; although mutual inspiration
Computational_neuroscience
Egyptian-American computer scientist
Chairman of Machine Learning Consultants LLC.[citation needed] He is known for his research and educational activities in the area of machine learning. Abu-Mostafa
Yaser_Abu-Mostafa
Vietnamese-American computer scientist and applied mathematician
mathematician known for his contributions to optimization algorithms for machine learning and notable for proposing and developing the SARAH stochastic recursive
Lam_Nguyen
Technique in machine learning
Curriculum learning is a technique in machine learning in which a model is trained on examples of increasing difficulty, where the definition of "difficulty"
Curriculum_learning
Engineering applied to artificial intelligence
laboratories and made available as a service. Huyen distinguishes this from machine learning (ML) engineering, which involves building and deploying models developed
Artificial intelligence engineering
Artificial_intelligence_engineering
2017 research paper by Google
research paper in machine learning authored by eight scientists and engineers working at Google. The paper introduced a new deep learning architecture known
Attention_Is_All_You_Need
Ability of a computer system to cope with errors during execution
many areas of computer science, such as robust programming, robust machine learning, and Robust Security Network. Formal techniques, such as fuzz testing
Robustness_(computer_science)
Machine learning calibration technique
In machine learning, Platt scaling or Platt calibration is a way of transforming the outputs of a classification model into a probability distribution
Platt_scaling
Academic journal
Nature Machine Intelligence is a monthly peer-reviewed scientific journal published by Nature Portfolio covering machine learning and artificial intelligence
Nature_Machine_Intelligence
the country's first attempts at studying artificial intelligence and machine learning. OCR technology has benefited greatly from the work of ISI's Computer
Artificial intelligence in India
Artificial_intelligence_in_India
MACHINE LEARNING
MACHINE LEARNING
Female
French
French feminine form of Latin Martinus, MARTINE means "of/like Mars."Â
Boy/Male
American, Australian
Weighing Machine
Female
Native American
Native American Hopi name KACHINA means "sacred dancer; spirit."
Male
Hindi/Indian
(सचिन) Hindi myth name borne by Indra, SACHIN means "pure."
Surname or Lastname
English
English : variant spelling of Machen.Spanish (MachÃn) : probably a nickname from machÃn ‘boor’, ‘lout’, often applied to a blacksmith’s apprentice.French : nickname from Old French machin ‘scheming’.
Girl/Female
Bengali, Indian
Machine
Male
French
French form of Latin Macarius, MACAIRE means "blessed."
Female
English
Feminine form of English Max, MAXINE means either "the greatest rival" or "the stream of Mack."Â
Male
English
Variant spelling of English unisex Macey, MACIE means "gift of God."
Female
French
Feminine form of French Marin, MARINE means "of the sea."
Female
Scottish
Feminine form of Scottish Lachlan, LACHINA means "lake-land."
Female
Yiddish
(×™Ö·×—Ö°× Ö¶×¢) Yiddish form of Hebrew Yochana, YACHNE means "God is gracious."Â
Female
German
German form of Scottish Malvina, MALWINE means "smooth-brow."
Female
English
Variant spelling of English Maureen, MAURINE means "obstinacy, rebelliousness" or "their rebellion."
Male
English
Pet form of English Sacheverell, SACHIE means "roe-buck leap."
Female
Hawaiian
Hawaiian name MAHINA means "moon; moonlight."
Male
Hebrew
Variant spelling of Hebrew Yakiyn, YACHIN means "he establishes" or "whom God strengthens."Â
Girl/Female
Australian, Japanese
Child of Machi
Male
Scottish
Pet form of Scottish Gaelic Lachlann, LACHIE means "lake-land."
Surname or Lastname
English
English : occupational name for a stonemason, Anglo-Norman French machun, a Norman dialect variant of Old French masson (see Mason).
MACHINE LEARNING
MACHINE LEARNING
Boy/Male
Hebrew Irish
Gift from God.
Female
Serbian
(Снежана) Serbian form of Croatian Snjezana, SNEŽANA means "snow woman."
Surname or Lastname
English
English : habitational name from Bramford in Suffolk or Brampford Speke in Devon. Both places are named with Old English brÅm ‘broom’ + ford ‘ford’.
Girl/Female
Indian, Polish, Sanskrit
Early; Early Rising; A Peacock's Tail
Boy/Male
Muslim
Young fox, Sehabie Rasool sawas
Boy/Male
Indian, Punjabi, Sikh
Wondrous
Surname or Lastname
English
English : unexplained.
Boy/Male
Hindu, Indian, Tamil
Husband
Girl/Female
Tamil
Principled, Moral person, Virtuous
Girl/Female
Bengali, Gujarati, Hindu, Indian, Kannada, Telugu
Landlord; Rich Person
MACHINE LEARNING
MACHINE LEARNING
MACHINE LEARNING
MACHINE LEARNING
MACHINE LEARNING
a.
Formed by the action of the currents or waves of the sea; as, marine deposits.
a.
Of or pertaining to the sea; having to do with the ocean, or with navigation or naval affairs; nautical; as, marine productions or bodies; marine shells; a marine engine.
a.
A picture representing some marine subject.
v. t.
To subject to the action of machinery; to effect by aid of machinery; to print with a printing machine.
v. t.
To contrive, as a plot; to plot; as, to machinate evil.
n.
Supernatural agency in a poem, or a superhuman being introduced to perform some exploit.
n.
One who or operates a machine; a machinist.
n.
Machines, in general, or collectively.
a.
Of or pertaining to machines.
a.
Of or pertaining to cows; pertaining to, derived from, or caused by, vaccinia; as, vaccine virus; the vaccine disease.
n.
In general, any combination of bodies so connected that their relative motions are constrained, and by means of which force and motion may be transmitted and modified, as a screw and its nut, or a lever arranged to turn about a fulcrum or a pulley about its pivot, etc.; especially, a construction, more or less complex, consisting of a combination of moving parts, or simple mechanical elements, as wheels, levers, cams, etc., with their supports and connecting framework, calculated to constitute a prime mover, or to receive force and motion from a prime mover or from another machine, and transmit, modify, and apply them to the production of some desired mechanical effect or work, as weaving by a loom, or the excitation of electricity by an electrical machine.
v. t.
To wind marline around; as, to marline a rope.
n.
A political organization arranged and controlled by one or more leaders for selfish, private or partisan ends.
n.
A combination of persons acting together for a common purpose, with the agencies which they use; as, the social machine.
pl.
of Tachina
n.
Any one of numerous species of Diptera belonging to Tachina and allied genera. Their larvae are external parasites of other insects.
imp. & p. p.
of Machine
n.
The working parts of a machine, engine, or instrument; as, the machinery of a watch.