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What is the purpose of natural language processing (NLP) in data analytics?
a.
To clean and preprocess data
b.
To generate reports and dashboards
c.
To analyze and interpret human language data
d.
To visualize data patterns
What else can I help you with?
What are the 2 areas of data processing?
Business data processing and Scientific data processing.
What is business data processing and scientific data processing?
Business Data Processing (BDP): Data processing in accounting or business management Scientific Data Processing (SDP): Data processing in experiments, or computations using data collected from such activities.
What are the areas of data processing?
1. business data processing 2.scientific data processing ako si jayveelim ang data processing
What is meant by Business Data Processing and Scientific Data Processing?
In information processing,a Data Processing System is a system which processes data which has been captured and encoded in a format recognizable by the data processing system or has been created and stored by another unit of an information processing system.
1 business data processing and scientific data processing definitions?
business data processing: accounting, billing, inventory management, etc.scientific data processing: analysis of experimental data, simulation and modeling of physical systems, experimental data collection, etc.
What is definition of scientific data processing?
the processes or results of an experiment
Data structure for language processing in system programming?
lado
What is the data process?
Data processing means it is receiving all the data from what your doing and your computer is intepreting the data into a readable computer language which is codes. So just wait until data processing is finished.
5 elements of electronic data processing?
The 5 elements are hardware, software, user program, procedure and personnel. Data processing transforms data into meaningful information to carry out business or scientific activities.
What has the author D K Carver written?
D. K. Carver has written: 'Introduction to business data processing' -- subject(s): BASIC (Computer program language), Business, COBOL (Computer program language), Data processing, Electronic data processing, FORTRAN (Computer program language) 'Structured COBOL for microcomputers' -- subject(s): COBOL (Computer program language), Microcomputers, Programming, Structured programming 'Beginning BASIC' -- subject(s): BASIC (Computer program language) 'Instructor's manual to accompany Computers and data processing - introduction with BASIC' -- subject(s): Data processing, Management 'Quattro pro 4' -- subject(s): Business, Computer programs, Electronic spreadsheets, Quattro pro
Where is parallel processing used?
Parallel processing is commonly used in areas such as scientific computing, artificial intelligence, data analytics, and image processing. It can significantly speed up computations by breaking a task into smaller components that can be processed simultaneously on multiple cores or processors. This technique is especially beneficial for tasks that can be divided into independent sub-tasks.
What has the author Frank C Lin written?
Frank C. Lin has written: 'Elementary FORTRAN with scientific and business applications' -- subject(s): Business, Data processing, FORTRAN (Computer program language), Science
