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Topics referred to by the same term
Data processing machine may refer to: Component or equipment used as part of a Data processing system Accounting machine Tabulating machine Computer,
Data_processing_machine
Collection and manipulation of items of data to produce meaningful information
Data processing is the collection and manipulation of digital data to produce meaningful information. Data processing is a form of information processing
Data_processing
Programmable machine that processes data
Conventionally, a modern computer consists of at least one processing element, typically a central processing unit (CPU) in the form of a microprocessor, together
Computer
Medium capable of storing data in a format readable by a machine
intended principally for processing by machines (CSV, RDF, XML, JSON). These formats are only machine readable if the data contained within them is formally
Machine-readable medium and data
Machine-readable_medium_and_data
Use of automated methods to process commercial data
Electronic data processing (EDP) or business information processing can refer to the use of automated methods to process commercial data. Typically, this
Electronic_data_processing
Subset of artificial intelligence
Knowledge Discovery and Data Mining (KDD) Conference on Neural Information Processing Systems (NeurIPS) Automated machine learning – Process of automating the
Machine_learning
Software engineering approach to designing and developing information systems
become popular. If the data is structured and online analytical processing is required (but not online transaction processing), then data warehouses are a main
Data_engineering
Vacuum-tube computer system
The IBM 701 Electronic Data Processing Machine, known as the Defense Calculator while in development, was IBM's first commercial scientific computer and
IBM_701
Concept in machine learning
often performed on graphics processing units (GPUs) using CUDA, and on dedicated hardware such as Google's Tensor Processing Unit or Nvidia's Tensor core
Tensor_(machine_learning)
Instructions directly executable by a computer
In computing, machine code is data encoded and structured to control a computer's central processing unit (CPU) via its programmable interface. A computer
Machine_code
Assembler for the IBM 650 computer
Assembly Program (SOAP) is an assembler for the IBM 650 Magnetic Drum Data-Processing Machine, an early computer first used in 1954. It was developed by Stan
Symbolic Optimal Assembly Program
Symbolic_Optimal_Assembly_Program
Automatically-generated information
Machine-generated data is information automatically generated by a computer process, application, or other mechanism without the active intervention of
Machine-generated_data
Vacuum-tube computer system (1954)
The IBM 704 Manual of operation states: The IBM 704 Electronic Data-Processing Machine is a large-scale, high-speed electronic calculator controlled by
IBM_704
Type of parallel processing
multiple data (SIMD) is a type of parallel computing (processing) in Flynn's taxonomy. SIMD describes computers with multiple processing elements that
Single instruction, multiple data
Single_instruction,_multiple_data
Vacuum-tube 1950s computer system
The IBM 650 Magnetic Drum Data-Processing Machine is an early digital computer produced by IBM in the mid-1950s. It was the first mass-produced computer
IBM_650
Process of analyzing large data sets
Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics
Data_mining
the Data Diffusion Machine using Crossbar Routers," Parallel Processing Symposium, International, p. 152, 10th International Parallel Processing Symposium
Data_diffusion_machine
CPU's internal components except the control unit
A data path is a collection of functional units such as arithmetic logic units (ALUs) or multipliers that perform data processing operations, registers
Datapath
Late 19th-century machine for summarizing information stored on punch cards
inventory control. It spawned a class of machines, known as unit record equipment, and the data processing industry. The term "Super Computing" was used
Tabulating_machine
generalization. As such, it can be used in tasks such as data mining, machine learning and signal processing. The first use of epitomic analysis was with image
Epitome_(data_processing)
Paper-based recording medium
for data processing, the control of automated machines, and computing. Early applications included controlling weaving looms and recording census data. Punched
Punched_card
Unit of information
usage or processing. Advances in computing technologies have led to the advent of big data, which generally refers to very large quantities of data, typically
Data
Manipulation of data before it is analyzed
be easily read and processed by machines. A specifically useful example of this exists in the medical use of semantic data processing. As an example, a
Data_preprocessing
Discrete, discontinuous representation of information
input for data science, where data is collected, processed, analyzed, and modeled using methods from statistics, computer science and machine learning
Digital_data
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)
Research field that lies at the intersection of machine learning and computer security
fabricated data that violates the statistical assumption. Most common attacks in adversarial machine learning include evasion attacks, data poisoning attacks
Adversarial_machine_learning
Branch of machine learning
including computer vision, speech recognition, natural language processing, machine translation, bioinformatics, drug design, medical image analysis
Deep_learning
Topics referred to by the same term
to process data Information and Software Technology, a scientific journal formerly published under the name Data Processing Information processing, the
Data processing (disambiguation)
Data_processing_(disambiguation)
Device or computer program used for writing and editing documents
of the early word processing adopters was Vydec, which created in 1973 the first modern text processor, the "Vydec Word Processing System". It had built-in
Word_processor
Process of digitizing data
information is readily available for planned computer-based analysis or processing. Data entry is used in offices, research settings, schools, and businesses
Data_entry
Data organized by tags but not tables
intelligent document processing can convert semi-structured data appearing on printed pages into machine-ready formats such as JSON. Electronic data interchange
Semi-structured_data
Processing of natural language by a computer
Natural language processing (NLP) is the processing of natural language information by a computer. NLP is a subfield of computer science and is closely
Natural_language_processing
Specialized data centers designed for artificial intelligence
intelligence (AI) and machine learning models. Unlike general-purpose data centers, they are often optimized for the parallel processing demands of AI workloads
AI_data_center
Field of study to extract knowledge from data
Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processing, scientific visualization
Data_science
learning from incomplete data via an EM approach Archived 22 April 2017 at the Wayback Machine." Advances in neural information processing systems 6. 1994. Mallah
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Topics referred to by the same term
free dictionary. Tabulator may refer to: Tabulating machine, a punched card data processing machine that preceded the computer Tab key (↹), a standard
Tabulator
Electromechanical machines which processed data using punch cards
equipment, electric accounting machines (EAM), or tab equipment were electromechanical machines used for performing data processing. Used well before the advent
Unit_record_equipment
Phase transition in machine learning
(eds.). Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans
Grokking_(machine_learning)
Intelligence in machines
of kernels to more efficiently process local patterns. This local processing is especially important in image processing, where the early CNN layers typically
Artificial_intelligence
Professional certification
The Certificate in Data Processing (CDP) was a certification administered by the Data Processing Management Association. The CDP required several years
Certificate in Data Processing
Certificate_in_Data_Processing
Process supporting machine learning
vision and natural language processing, requires large volumes of annotated data. Annotation choices determine how machine learning algorithms recognize
Data_annotation
Processing a software job non-interactively
batch processing is the running of a software job in an automated and unattended way. A user schedules a job to run and then waits for a processing system
Batch_processing
Computing technique employed to achieve parallelism
instruction, multiple data (MIMD) is a technique employed to achieve parallelism. Machines using MIMD have a number of processor cores that function asynchronously
Multiple instruction, multiple data
Multiple_instruction,_multiple_data
Automated recognition of patterns and regularities in data
statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning
Pattern_recognition
Technology and methods used to provide imaging-based automatic inspection and analysis
required by subsequent processing. MV software packages and programs developed in them then employ various digital image processing techniques to extract
Machine_vision
Process in data storage
Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or
Data_extraction
Process of automating the application of machine learning
be applied to. To make the data amenable for machine learning, an expert may have to apply appropriate data pre-processing, feature engineering, feature
Automated_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)
Computer processor which works on arrays of several numbers at once
one-dimensional arrays of data called vectors. When integrated as a hardware component the vector processor is often called a vector processing unit (VPU). This
Vector_processor
Name used for several lines of minicomputers
to build a Programmed Data Processor and aimed it at a market that could not afford the larger computers. The various PDP machines can generally be grouped
Programmed_Data_Processor
Reader/Recorder (7 Track—6 data bits & 1 parity bit; 200 characters/inch) IBM 838: Inquiry Station IBM 701: Electronic Data Processing Machine; 1952. Known as the
List_of_IBM_products
Collection of data
the data to avoid statistical fallacies. List of datasets for machine-learning research List of datasets in computer vision and image processing Data blending
Data_set
Data that is findable, accessible, interoperable, and reusable
principles emphasise machine-actionability — the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal
FAIR_data
Hardware acceleration unit for artificial intelligence tasks
processing unit (CPU) or a part of a graphics processing unit (GPU). An early use of the term neural processing unit (NPU) to refer to a dedicated neural-network
Neural_processing_unit
Type of database system
to user requests and process them in real time. OLTP is contrasted with online analytical processing (OLAP), which focuses on data analysis (for example
Online_transaction_processing
Interdisciplinary research area
classical data set into a quantum computer to make it accessible for quantum information processing. Subsequently, quantum information processing routines
Quantum_machine_learning
American statistician and inventor
Tabulating System, specializing in punched card data processing equipment. He provided tabulators and other machines under contract for the Census Office, which
Herman_Hollerith
Type of machine learning model
model (LLM) is a machine learning model (typically a neural network) trained on a vast amount of text for natural language processing tasks, especially
Large_language_model
Overview of and topical guide to machine learning
optimization Social engineering Graphics processing unit Tensor processing unit Vision processing unit Comparison of machine learning software Comparison of deep
Outline_of_machine_learning
Machine-learning and computational-neuroscience conference
The Conference on Neural Information Processing Systems (abbreviated as NeurIPS and formerly NIPS) is a machine learning and computational neuroscience
Conference on Neural Information Processing Systems
Conference_on_Neural_Information_Processing_Systems
1960s decimal computer
IBM 1400 series, it was aimed at replacing unit record equipment for processing data stored on punched cards and at providing peripheral services for larger
IBM_1401
Machine learning technique
optimization. RLHF has applications in various domains in machine learning, including natural language processing tasks such as text summarization and conversational
Reinforcement learning from human feedback
Reinforcement_learning_from_human_feedback
Field of study in artificial intelligence
GDPR, require data deletion as a remedy for wrongful collection or processing of data, data deletion is an insufficient remedy in machine learning contexts
Machine_unlearning
Data pre-processing technique
Data binning, also called data discrete binning or data bucketing, is a data pre-processing technique used to reduce the effects of minor observation
Data_binning
Emerging class of microprocessor
designed to accelerate machine vision tasks. Vision processing units are distinct from graphics processing units (which are specialised for video encoding
Vision_processing_unit
EU regulation on information privacy
details about the processing, such as the purposes of the processing, with whom the data is shared, and how it acquired the data. A data subject must be
General Data Protection Regulation
General_Data_Protection_Regulation
Electrical component for processing data
computer science, a processor or processing unit is an electrical component (digital circuit) that performs operations on an external data source, usually
Processor_(computing)
Data analysis technique
subjects still rely mainly on subject-specific analyses. Data scarcity is notable in signal processing problems such as for Parkinson's Disease Electromyography
Data_augmentation
Tasks in machine learning
In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. Such algorithms function
Training, validation, and test data sets
Training,_validation,_and_test_data_sets
Class of algorithms for pattern analysis
representer theorem. Kernel machines are slow to compute for datasets larger than a couple of thousand examples without parallel processing. Kernel methods owe
Kernel_method
Collection of information that has not been fully processed or analyzed
the data input to processing. A distinction is made between data and information, to the effect that information is the end product of data processing. Raw
Raw_data
a list of data science software and platforms used in data science, which includes programming languages, programming environments, machine learning frameworks
List_of_data_science_software
Centralized storage of knowledge
historic data through ETL processes that periodically migrate data from the operational systems to the warehouse. Online analytical processing (OLAP) is
Data_warehouse
Approach to artificial intelligence emphasizing data quality and management
language processing, and further. Artificial intelligence Machine learning Data preprocessing Training data Data quality Feature engineering MLOps Data governance
Data-centric_AI
Computer control of machine tools
creating the modern CNC machine tools that have revolutionized machining processes. CNC plays an extensive role in the processing manufacturing field, not
Computer_numerical_control
Extremely large or complex datasets
Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries
Big_data
Software that emulates an entire computer
hypervisors. Process virtual machines are designed to execute computer programs in a platform-independent environment. Some virtual machine emulators, such
Virtual_machine
Set of methods for supervised statistical learning
vectors, developed in the support vector machines algorithm, to categorize unlabelled data.[citation needed] These data sets require unsupervised learning approaches
Support_vector_machine
Programming paradigm in which many processes are executed simultaneously
heavily optimized for computer graphics processing. Computer graphics processing is a field dominated by data parallel operations—particularly linear
Parallel_computing
Process of linking data objects in distinct models
In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used
Data_mapping
Type of computer
programming language implementations, a stack machine is a computer processor or a process virtual machine in which the primary interaction is moving short-lived
Stack_machine
Concept in machine learning
series data. A thorough audit of the data pipeline is crucial, reviewing pre-processing steps, feature engineering, and data splitting processes. Detecting
Leakage_(machine_learning)
Compact encoding of digital data
In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original
Data_compression
Component of CNC software
A post processor, also known simply as a post, is a computer program which converts tool path data from CNC software into machine tool data, to be used
Post_processor
Open standard process model
Cross-industry standard process for data mining, known as CRISP-DM, is an open standard process model that describes common approaches used by data mining experts
Cross-industry standard process for data mining
Cross-industry_standard_process_for_data_mining
Repository of data stored in a raw format
analytics, and machine learning. A data lake can include structured data from relational databases (rows and columns), semi-structured data (CSV, logs, XML
Data_lake
Information without a formal data model
framework for processing this information to extract meaning and create structured data about the information. Software that creates machine-processable structure
Unstructured_data
Specialized electronic circuit that accelerates graphics
A graphics processing unit (GPU) is a specialized electronic circuit designed for digital image processing and to accelerate computer graphics, being
Graphics_processing_unit
Data analytics approach
an approach of data analytics that employs the use of machine learning and natural language processing to automate analysis processes normally done by
Augmented_Analytics
Use of a GPU for computations typically assigned to CPUs
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles
General-purpose computing on graphics processing units
General-purpose_computing_on_graphics_processing_units
Origins and events of data
processing to crunch large volumes of data quickly. Another method is putting data in-memory but using a grid computing approach, where many machines
Data_lineage
Mainframe computer systems made by IBM through the 1950s and early 1960s
Poughkeepsie Laboratory, this machine was formally unveiled April 7, 1953 as the IBM 701 Electronic Data Processing Machine. Data formats Numbers are either
IBM_700/7000_series
Open source platform
parallel processing on standard hardware. It supports algorithms for large-scale data analysis and model deployment. H2O is primarily used by data scientists
H2O_(software)
Computer architecture where code and data each have a separate bus
bits wide) and data in electro-mechanical counters. These early machines had data storage entirely contained within the central processing unit, and provided
Harvard_architecture
Industrial data processing is a branch of applied computer science that covers the area of design and programming of computerized systems which are not
Industrial_data_processing
Data-processing architecture
ordering of the data. Lambda architecture describes a system consisting of three layers: batch processing, speed (or real-time) processing, and a serving
Lambda_architecture
1948 book written by Norbert Wiener
discussing the need to store both the data to be processed and the algorithms which are employed for processing that data, and the challenges involved in implementing
Cybernetics: Or Control and Communication in the Animal and the Machine
Cybernetics:_Or_Control_and_Communication_in_the_Animal_and_the_Machine
Field of electrical engineering
potential fields, seismic signals, altimetry processing, and scientific measurements. Signal processing techniques are used to optimize transmissions
Signal_processing
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
Supervised_learning
Recording of information in a storage medium
power to store and retrieve data. Data stored in a digital, machine-readable medium is called digital data. Computer data storage is one of the core functions
Data_storage
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