We found 36 results that contain "computer"

Parallel Computer Architecture is the method of organizing all the resources to maximize the performance and the programmability within the limits given by technology and the cost at any instance of time. It adds a new dimension in the development of computer system by using more and more number of processors. This tutorial covers the basics related to Parallel Computer Architecture, discussing the various concepts and terminologies associated with the topic

Parallel Computer Architecture is the method of organizing all the resources to maximize the performance and the programmability within the limits given by technology and the cost at any instance of time. It adds a new dimension in the development of computer system by using more and more number of processors. This tutorial covers the basics related to Parallel Computer Architecture, discussing the various concepts and terminologies associated with the topic

Parallel Computer Architecture is the method of organizing all the resources to maximize the performance and the programmability within the limits given by technology and the cost at any instance of time. It adds a new dimension in the development of computer system by using more and more number of processors. This tutorial covers the basics related to Parallel Computer Architecture, discussing the various concepts and terminologies associated with the topic

WHAT IS MIS? | MANAGEMENT INFORMATION SYSTEMS
Management Information Systems (MIS) is the study of people, technology, organizations, and the relationships among them. MIS professionals help firms realize maximum benefit from investment in personnel, equipment, and business processes. MIS is a people-oriented field with an emphasis on service through technology. If you have an interest in technology and have the desire to use technology to improve people’s lives, a degree in MIS may be for you.

MIS PROFESSIONALS MAKE BUSINESS BETTER
Businesses use information systems at all levels of operation to collect, process, and store data. Management aggregates and disseminates this data in the form of information needed to carry out the daily operations of business. Everyone who works in business, from someone who pays the bills to the person who makes employment decisions, uses information systems. A car dealership could use a computer database to keep track of which products sell best. A retail store might use a computer-based information system to sell products over the Internet. In fact, many (if not most) businesses concentrate on the alignment of MIS with business goals to achieve competitive advantage over other businesses.

MIS professionals create information systems for data management (i.e., storing, searching, and analyzing data). In addition, they manage various information systems to meet the needs of managers, staff and customers. By working collaboratively with various members of their work group, as well as with their customers and clients, MIS professionals are able to play a key role in areas such as information security, integration, and exchange. As an MIS major, you will learn to design, implement, and use business information systems in innovative ways to increase the effectiveness and efficiency of your company.

MORE THAN CODING
A common misconception is that MIS only concerns coding (or writing computer code). While coding concepts represent some of the fundamental principles of information systems development, implementation, and use, many jobs in MIS do not utilize coding at all. A large portion of the MIS degree focuses on data analysis, teamwork, leadership, project management, customer service, and underlying business theories. These aspects of the degree are what set the MIS professional apart from a computer science specialist.

Do you enjoy working with people?
Would you enjoy the chance to work on global problems with people from all over the world?
Do you enjoy analyzing and solving problems?
Do you want to create innovative, cutting-edge technology solutions?
Do you want to learn how to make businesses more efficient, effective and competitive?
Then you should consider as your major the field that is experiencing a critical shortage of professionally trained individuals. A field where demand is skyrocketing with projected growth rates of 38 percent – the fastest of any business discipline (U.S. Bureau of Labor Statistics).

WHAT KINDS OF PEOPLE PURSUE MIS DEGREES?
The profiles of MIS professionals are varied, but in general, such individuals possess many of the following traits:

good problem solving skills
ability to effectively manage time and resources
a clear vision of “the big picture” as well as the “small details”
a desire to work closely with other people
excellent communication skills
ability to think strategically about technology
a desire to take responsibility for developing and implementing their own ideas

Data communications refers to the transmission of this digital data between two or more computers and a computer network or data network is a telecommunications network that allows computers to exchange data. The physical connection between networked computing devices is established using either cable media or wireless media. The best-known computer network is the Internet.

Data communications refers to the transmission of this digital data between two or more computers and a computer network or data network is a telecommunications network that allows computers to exchange data. The physical connection between networked computing devices is established using either cable media or wireless media. The best-known computer network is the Internet.

Cloud computing is a computing service made available over the internet.

Cloud computing is a pay-as-you-go model for delivering IT resources.

Human language is filled with ambiguities that make it incredibly difficult to write software that accurately determines the intended meaning of text or voice data. Homonyms, homophones, sarcasm, idioms, metaphors, grammar and usage exceptions, variations in sentence structure—these just a few of the irregularities of human language that take humans years to learn, https://byjus.com/biology/flower/ but that programmers must teach natural language-driven applications to recognize and understand accurately from the start, if those applications are going to be useful.
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Several NLP tasks break down human text and voice data in ways that help the computer make sense of what it's ingesting. Some of these tasks include the following:

Speech recognition, also called speech-to-text, is the task of reliably converting voice data into text data. Speech recognition is required for any application that follows voice commands or answers spoken questions. What makes speech recognition especially challenging is the way people talk—quickly, slurring words together, with varying emphasis and intonation, in different accents, and often using incorrect grammar.
Part of speech tagging, also called grammatical tagging, is the process of determining the part of speech of a particular word or piece of text based on its use and context. Part of speech identifies ‘make’ as a verb in ‘I can make a paper plane,’ and as a noun in ‘What make of car do you own?’
Word sense disambiguation is the selection of the meaning of a word with multiple meanings through a process of semantic analysis that determine the word that makes the most sense in the given context. For example, word sense disambiguation helps distinguish the meaning of the verb 'make' in ‘make the grade’ (achieve) vs. ‘make a bet’ (place).
Named entity recognition, or NEM, identifies words or phrases as useful entities. NEM identifies ‘Kentucky’ as a location or ‘Fred’ as a man's name.
Co-reference resolution is the task of identifying if and when two words refer to the same entity. The most common example is determining the person or object to which a certain pronoun refers (e.g., ‘she’ = ‘Mary’), but it can also involve identifying a metaphor or an idiom in the text (e.g., an instance in which 'bear' isn't an animal but a large hairy person).
Sentiment analysis attempts to extract subjective qualities—attitudes, emotions, sarcasm, confusion, suspicion—from text.
Natural language generation is sometimes described as the opposite of speech recognition or speech-to-text; it's the task of putting structured information into human language.