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Interdisciplinary academic field
Learning Engineering is the systematic application of evidence-based principles and methods from educational technology and the learning sciences to create
Learning_engineering
Extracting features from raw data for machine learning
Feature engineering is a preprocessing step in supervised machine learning and statistical modeling which transforms raw data into a more effective set
Feature_engineering
Subset of artificial intelligence
Machine learning ethics is becoming a field of study and, notably, becoming integrated within machine learning engineering teams. Federated learning is an
Machine_learning
Engineering applied to artificial intelligence
available as a service. Huyen distinguishes this from machine learning (ML) engineering, which involves building and deploying models developed in-house
Artificial intelligence engineering
Artificial_intelligence_engineering
Software engineering approach to designing and developing information systems
Data engineering is a software engineering approach to the building of data systems, to enable the collection and usage of data. This data is usually
Data_engineering
Structuring text as input to generative artificial intelligence
attack that targets machine learning models through malicious prompts. The Oxford English Dictionary defines prompt engineering as "The action or process
Prompt_engineering
Process of automating the application of machine learning
the data amenable for machine learning, an expert may have to apply appropriate data pre-processing, feature engineering, feature extraction, and feature
Automated_machine_learning
Measurable property or characteristic
that is used in feature engineering depends on the specific machine learning algorithm that is being used. Some machine learning algorithms, such as decision
Feature_(machine_learning)
Many engineering educators see service-learning as the solution to several prevalent problems in engineering education today. In the past, engineering curriculum
Service-learning in engineering education
Service-learning_in_engineering_education
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
Growth Engineering is a SAAS learning technologies company. They provide a platform for e-Learning, also known as a learning management system. Established
Growth_Engineering
Branch of engineering
microwave engineering, nanotechnology, electrochemistry, renewable energies, mechatronics/control, and electrical materials science. Machine learning and computer
Electrical_engineering
Overview of and topical guide to machine learning
Feature engineering Feature learning Learning to rank Occam learning Online machine learning PAC learning Regression Reinforcement Learning Semi-supervised
Outline_of_machine_learning
Process of extracting design information from anything artificial
knowledge gained during reverse engineering can help with repurposing obsolete objects, doing security analysis, or learning how something works. Although
Reverse_engineering
Educational software application
programs, materials, or learning and development programs. The learning management system concept emerged directly from e-Learning. Learning management systems
Learning_management_system
Method in machine learning
called bagging (from bootstrap aggregating) or bootstrapping, is a machine learning (ML) ensemble meta-algorithm designed to improve the stability and accuracy
Bootstrap_aggregating
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)
Applied science and research
dictionary definition of engineering at Wiktionary Learning materials related to Engineering at Wikiversity Quotations related to Engineering at Wikiquote Works
Engineering
Magnet high school in New Jersey, United States
The Science/Engineering Specialized Learning Center, S&E or SnE, is a public high school magnet program housed within Manalapan High School, located in
Science/Engineering Specialized Learning Center
Science/Engineering_Specialized_Learning_Center
Machine learning that combines deep learning and reinforcement learning
Deep reinforcement learning (deep RL) is a subfield of machine learning that combines reinforcement learning (RL) and deep learning. RL considers the problem
Deep_reinforcement_learning
Machine learning technique
Yang, Qiang (2010). "A Survey on Transfer Learning" (PDF). IEEE Transactions on Knowledge and Data Engineering. 22 (10): 1345–1359. Bibcode:2010ITKDE..22
Transfer_learning
Extension on STEM that injects the arts into the curriculum
(science, technology, engineering, art, and mathematics) education is an expanded approach to teaching science, technology, engineering, and mathematics (STEM)
STEAM_education
Branch of machine learning
feature engineering to transform the data into a more suitable representation for a classification algorithm to operate on. In the deep learning approach
Deep_learning
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
Approach to machine learning lifecycle management
learning products. Most of all, it is an engineering practice that leverages three contributing disciplines: machine learning, software engineering (especially
MLOps
Integrated circuit technology
digital, or mixed-mode VLSI, prioritize robustness, adaptability, and learning by emulating the brain’s distributed processing across small computing
Neuromorphic_computing
College in Karnataka, India
Learning, Electronics and Communication, Electrical and Electronics, Civil engineering, Mechanical engineering. Vidyavardhaka College of Engineering is
Vidyavardhaka College of Engineering
Vidyavardhaka_College_of_Engineering
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
Use of technology in education to enhance learning and teaching
software, along with educational theories and practices, used to facilitate learning and teaching. When referred to by its abbreviation, "EdTech," it often
Educational_technology
Engineering discipline
The components of information engineering include more theoretical fields such as electromagnetism, machine learning, artificial intelligence, control
Information_engineering
programming languages, programming environments, machine learning frameworks, data engineering tools, statistical software, data analysis, plotting, MLOps
List_of_data_science_software
American scientist (born 1956)
researcher in machine learning, statistics, and artificial intelligence. Jordan was elected a member of the National Academy of Engineering in 2010 for contributions
Michael_I._Jordan
French computer scientist (born 1960)
contributions to neural networks and deep learning algorithms. In 2025 he was awarded the Queen Elizabeth Prize for Engineering jointly with Yoshua Bengio, Bill
Yann_LeCun
Branch of computer science
AI-assisted reverse engineering (AIARE) is a branch of computer science that leverages artificial intelligence (AI), notably machine learning (ML) strategies
AI-assisted reverse engineering
AI-assisted_reverse_engineering
Umbrella term for technical disciplines
engineering, and mathematics (STEM) is an umbrella term used to group together the related technical disciplines of science, technology, engineering,
Science, technology, engineering, and mathematics
Science,_technology,_engineering,_and_mathematics
Set of learning techniques in machine learning
manual feature engineering and allows a machine to both learn the features and use them to perform a specific task. Feature learning is motivated by
Feature_learning
Canadian computer scientist
machine learning systems engineering, cloud engineering, and dependable and trustworthy ML/AI. Khomh completed his Ph.D. in Software Engineering from the
Foutse_Khomh
Umbrella term for certain approaches to software development
Agile software methodologies have also been adopted for use with the learning engineering process, an iterative data-informed process that applies human-centered
Agile_software_development
Tuning parameter (hyperparameter) in optimization
In machine learning and statistics, the learning rate is a tuning parameter in an optimization algorithm that determines the step size at each iteration
Learning_rate
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)
1997 book by Richard Hamming
Brutzman, Don (September 2000). "The Art of Doing SCIENCE and Engineering: Learning to Learn, Richard W. Hamming (1915-1998)". "Richard Hamming - Biography"
The Art of Doing Science and Engineering
The_Art_of_Doing_Science_and_Engineering
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
Deep learning architecture
Mamba is a deep learning architecture focused on sequence modeling. It was developed by two researchers Albert Gu from Carnegie Mellon University and Tri
Mamba (deep learning architecture)
Mamba_(deep_learning_architecture)
Instructional strategy and educational philosophy
Learning in Engineering Courses". 2019 ASEE Annual Conference & Exposition Proceedings. American Society for Engineering Education. "Mastery Learning"
Mastery_learning
Professor of engineering
1955) is an American professor of engineering at Oakland University and McMaster University whose online courses on learning are some of the most popular massive
Barbara_Oakley
Study of computation
machine learning aim to synthesize goal-orientated processes such as problem-solving, decision-making, environmental adaptation, planning and learning found
Computer_science
Engineering discipline focused on robots
Robotics engineering is a branch of engineering that focuses on the conception, design, manufacturing, and operation of robots. It involves a multidisciplinary
Robotics_engineering
American toy company
engineering skills, such as building a toy motorcycle or a biomimetic grabber. STEM is the core concept for this crate, with an emphasis on learning science
KiwiCo
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)
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
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
Educational activity of teaching knowledge and principles of engineering
In the United States, engineering education is a part of the STEM initiative in public schools. Service-learning in engineering education is gaining popularity
Engineering_education
Indian e-learning platform
Technology Enhanced Learning, abbreviated as NPTEL, is an Indian e-learning platform for university-level science, technology, engineering, and mathematics
National Programme on Technology Enhanced Learning
National_Programme_on_Technology_Enhanced_Learning
Disciplines into which the field of engineering is conventionally divided
Computer-aided engineering Model-driven engineering Concurrent engineering Engineering analysis Engineering design process (engineering method) Engineering mathematics
List_of_engineering_branches
Learning theory
C.; Oreovicz, Frank S. (2015). "15.4. Kolb's Learning Cycle and Learning Styles". Teaching Engineering (2nd ed.). West Lafayette, Indiana: Purdue University
Kolb's_experiential_learning
Educational technique
Active learning is "a method of learning in which students are actively or experientially involved in the learning process and where there are different
Active_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 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
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
Academic conference in machine learning
International Conference on Machine Learning (ICML) is an international academic conference in machine learning held annually since 1980. It is the oldest
International Conference on Machine Learning
International_Conference_on_Machine_Learning
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)
American roboticist
edu. "The Amazon Professorships in Machine Learning | Paul G. Allen School of Computer Science & Engineering". www.cs.washington.edu. Fox, Dieter. "Byron
Byron_Boots
Institute in Tamil Nadu, India
Easwari Engineering College (EEC), is an engineering college located in Ramapuram, Chennai, Tamil Nadu, India, located right next to SRM University and
Easwari_Engineering_College
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
Virtual learning environment
Applied to Classroom Environments Considering a Learning Engineering Approach to Innovate the Teaching–Learning Process". Education Sciences. 13 (3): 301.
Wooclap
Engineering discipline that concerns the planning, design, and operation of supply chains
operations research, machine learning, and optimization, which are usually implemented using software. Supply chain engineering draws heavily from, and overlaps
Supply_chain_engineering
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. Along
Conference on Neural Information Processing Systems
Conference_on_Neural_Information_Processing_Systems
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)
University academic program
Computer science and engineering (CSE) is an academic subject comprising approaches of computer science and computer engineering. There is no clear division
Computer science and engineering
Computer_science_and_engineering
Intelligence of machines
intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in engineering, mathematics and computer
Artificial_intelligence
Process of analyzing large data sets
in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary
Data_mining
British-Canadian computer scientist (born 1947)
ISSN 0261-3077. Retrieved 8 February 2026. "Modern Machine Learning". Queen Elizabeth Prize for Engineering. FT Live (6 November 2025). The Minds of Modern AI:
Geoffrey_Hinton
State University in Karnataka, India
incorporate a university in the State of Karnataka for the development of engineering, technology and allied sciences. For effective administration, four regional
Visvesvaraya Technological University
Visvesvaraya_Technological_University
Engineering discipline specializing in the design of computer hardware
jobs require a master's degree. In many institutions of higher learning, computer engineering students are allowed to choose areas of in-depth study in their
Computer_engineering
American cognitive scientist
learning scientist. She is a Professor of the Practice at the Lynch School of Education at Boston College and co-lead of the MA Program in Learning Engineering
Janet_L._Kolodner
Method of machine learning
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
Incremental_learning
Professor Emeritus of computer science and engineering (born 1965)
Emeritus of computer science and engineering at the University of Washington. He is a researcher in machine learning known for Markov logic network enabling
Pedro_Domingos
Machine learning Feature engineering Data pipeline Data warehouse Data lake MLOps Data preprocessing Big data "Feature Store for Machine Learning". Hopsworks
Feature_store
American mechanical engineer
Professor of AI & Data-Driven Engineering at the University of Washington, where his research focuses on applying machine learning to dynamical systems, fluid
Steven_L._Brunton
American computer scientist (born 1976)
Elizabeth Prize for Engineering, recognizing her role in advancing deep learning. Li works on artificial intelligence, machine learning, computer vision
Fei-Fei_Li
Use of software engineering practices for IT
Site reliability engineering (SRE) is a discipline in the field of software engineering and IT infrastructure support that monitors and improves the availability
Site_reliability_engineering
British education and assessment company
provides learning materials, assessments, qualifications, virtual learning, English-language learning, higher-education products and enterprise learning and
Pearson_plc
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)
Engineer registered with British regulatory body
non-formal and informal learning can be assessed. The title Chartered Engineer is protected in the UK under law by means of the Engineering Council's royal charter
Chartered_Engineer_(UK)
Control theorist and engineer
College of Engineering. Ann Arbor, Michigan, United States: University of Michigan. Retrieved 2025-12-29. "Method for real-time, self-learning identification
Andreas_A._Malikopoulos
American scholar of computer science
Internet privacy, social networks, and deep reinforcement learning. He is the Dean of Engineering and Computer Science at NYU Shanghai and a computer science
Keith_W._Ross
Deep learning library
PyTorch is an open-source deep learning library, originally developed by Meta Platforms and currently developed with support from the Linux Foundation
PyTorch
Theory of machine learning
Theoretical results in machine learning often focus on a type of inductive learning known as supervised learning. In supervised learning, an algorithm is provided
Computational_learning_theory
American computer scientist (born 1951)
the author of the textbook Machine Learning. He is a member of the United States National Academy of Engineering since 2010. He is also a Fellow of the
Tom_M._Mitchell
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)
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)
American computer scientist and software engineer
department that would become the Paul G. Allen School of Computer Science and Engineering at the University of Washington in 1996, working under Craig Chambers
Jeff_Dean
Autonomous Private engineering college in Tamil Nadu, India
Books & leading Publications. NPTEL provides E-learning through online and video courses in Engineering, Science and Humanities streams. The mission of
Erode Sengunthar Engineering College
Erode_Sengunthar_Engineering_College
Topics referred to by the same term
Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI One-shot learning (computer vision)
Few-shot_learning
Technical institution in Ibrahimbagh, Hyderabad, India
Machine Learning) Electrical and Electronics Engineering Electronics and Communication Engineering Information Technology Mechanical Engineering The students
Vasavi_College_of_Engineering
Automated recognition of patterns and regularities in data
compression, computer graphics and machine learning. Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition
Pattern_recognition
Computer programming concept
Temporal difference (TD) learning refers to a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate
Temporal_difference_learning
Process of learning better perception skills
Perceptual learning is the learning of perception skills, such as differentiating two musical tones from one another or categorizations of spatial and
Perceptual_learning
Field that studies the methods and methodologies for building ontologies
In computer science, information science and systems engineering, ontology engineering is a field which studies the methods and methodologies for building
Ontology_engineering
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
LEARNING ENGINEERING
LEARNING ENGINEERING
Girl/Female
Gujarati, Hindu, Indian
Learning
Girl/Female
Sikh
Knowledge, Learning
Surname or Lastname
English
English : patronymic from Dear 1.Americanized spelling of German Diering, a variant of Döring (see Doering).
Boy/Male
Hindu
Learning ocean
Surname or Lastname
English
English : unexplained. Probably a respelling of Irish Hearon.Possibly also an altered form of German Haering (see Hering).
Surname or Lastname
English
English : variant spelling of Lanning.
Biblical
ploughing plough or till
Surname or Lastname
English
English : patronymic from a Germanic personal name beginning with the element gÄ“r, gÄr ‘spear’ (see Geary 2).Probably an Americanized spelling of German Gehring.
Girl/Female
Arabic, Muslim, Parsi
Learning; Wisdom
Girl/Female
Biblical
Learning.
Boy/Male
Tamil
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
Learning ocean
Vidaysagar | விதாயà¯à®¸à®¾à®•à®°
Surname or Lastname
English
English : variant of Leeming.
Surname or Lastname
English
English : unexplained.
Biblical
learning
Girl/Female
Tamil
Vidhya | விதà¯à®¯à®¾,விதà¯à®¯à®¾Â
Knowledge, Learning
Vidhya | விதà¯à®¯à®¾,விதà¯à®¯à®¾Â
Surname or Lastname
English
English : habitational name from Feering, a village in Essex, named from the Old English personal name Fēra + -ingas ‘people of’, i.e. ‘(settlement of) Fēra’s people’.Americanized spelling of German Viering, a topographic name for someone from a swampy area, from a derivative of Germanic vir ‘bog’, ‘swamp’, or a variant of Fehring 2.
Girl/Female
Hindu
Learning
Surname or Lastname
English
English : variant spelling of Waring.
Girl/Female
Tamil
Learning
Surname or Lastname
English (Dorset and Somerset)
English (Dorset and Somerset) : unexplained.Dutch : patronymic from a short form of the personal name Julianus (see Julian).
LEARNING ENGINEERING
LEARNING ENGINEERING
Boy/Male
Indian
Dog
Boy/Male
Hindu
Supreme being
Boy/Male
Arabic, Indian, Iranian, Muslim, Parsi, Punjabi, Sikh
Famous
Girl/Female
Muslim
To be beautiful
Boy/Male
African, Arabic
Confident; Generous
Girl/Female
Hindu
Dusk, Perfection
Boy/Male
British, English
Swordsman's Stone
Boy/Male
Arabic, Indian, Muslim
Everything; Generous
Surname or Lastname
English
English : habitational name from Atchley in Shropshire.
Female
Esperanto
Esperanto name JUVELA means "jewel-like."
LEARNING ENGINEERING
LEARNING ENGINEERING
LEARNING ENGINEERING
LEARNING ENGINEERING
LEARNING ENGINEERING
n.
The gross amount of the balances adjusted in the clearing house.
n.
Purport; meaning; intended significance; aspect.
n.
That part of any member of a building which rests upon its supports; as, a lintel or beam may have four inches of bearing upon the wall.
n.
A pilgrim bearing or wearing a cross.
n.
The acquisition of knowledge or skill; as, the learning of languages; the learning of telegraphy.
a.
Pertaining to, or designed for, wear; as, wearing apparel.
n.
The act or power of perceiving sound; perception of sound; the faculty or sense by which sound is perceived; as, my hearing is good.
a.
Guiding; directing; controlling; foremost; as, a leading motive; a leading man; a leading example.
n.
A line for hauling the reef cringle to the yard; -- also called reef earing.
n.
The act, or state, of inclining; inclination; tendency; as, a leaning towards Calvinism.
a.
Giving previous notice; cautioning; admonishing; as, a warning voice.
n.
The knowledge or skill received by instruction or study; acquired knowledge or ideas in any branch of science or literature; erudition; literature; science; as, he is a man of great learning.
n.
That which is meant or intended; intent; purpose; aim; object; as, a mischievous meaning was apparent.
n.
That which is signified, whether by act lanquage; signification; sence; import; as, the meaning of a hint.
pl.
of Earning
n.
The act of gathering after reapers; that which is collected by gleaning.
n.
The parts by which motion imparted to one portion of an engine or machine is transmitted to another, considered collectively; as, the valve gearing of locomotive engine; belt gearing; esp., a train of wheels for transmitting and varying motion in machinery.
n.
Improperly, the unsupported span; as, the beam has twenty feet of bearing between its supports.
n.
The act, power, or time of producing or giving birth; as, a tree in full bearing; a tree past bearing.
n.
Attention to what is delivered; opportunity to be heard; audience; as, I could not obtain a hearing.