Artificial Intelligence

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Across
  1. 5. It includes the conversion of raw data to machine-readable form, flow of data through the CPU and memory to output devices, and formatting or transformation of output.
  2. 9. A graph is an abstract data type that can be used to represent complex, non-linear relationships between objects.
  3. 10. The One Definition Rule (ODR) is an important rule of the C++ programming language that prescribes that classes/structs and non-inline functions cannot have more than one definition in the entire program and template and types cannot have more than one definition by translation unit.
  4. 11. The internet is defined as a global network of linked computers, servers, phones, and smart appliances that communicate with each other using the transmission control protocol (TCP) standard to enable the fast exchange of information and files, along with other types of services.
  5. 12. Put simply, big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can't manage them. But these massive volumes of data can be used to address business problems you wouldn't have been able to tackle before.
  6. 14. Computer training refers to resources, companies and services dedicated to helping educate users on computer-related topics.
  7. 17. Data cleaning is the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset.
  8. 19. Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
  9. 21. Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy.
Down
  1. 1. Analysis is defined as breaking something down into its inter-related components in order to understand it.
  2. 2. An algorithm is a set of commands that must be followed for a computer to perform calculations or other problem-solving operations.According to its formal definition, an algorithm is a finite set of instructions carried out in a specific order to perform a particular task.
  3. 3. Algorithmic bias refers to the systemic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others.
  4. 4. Any information processed by and sent from a computer or electronic device is considered output. An example of output is anything viewed on your computer monitor screen, such as the words you type on your keyboard.
  5. 6. Crowdsourcing involves obtaining work, information, or opinions from a large group of people who submit their data via the Internet, social media, and smartphone apps. People involved in crowdsourcing sometimes work as paid freelancers, while others perform small tasks voluntarily.
  6. 7. In computer science, the general meaning of input is to provide or give something to the computer, in other words, when a computer or device is receiving a command or signal from outer sources, the event is referred to as input to the device. Fingerprint reader.
  7. 8. These courses typically cover such topics as. SELECT statements, data definition, manipulation, control languages, records, and tables. In these courses, ..
  8. 13. Computer Science has enabled the development of sophisticated tools that can help tackle environmental problems. Issues like pollution, waste management and disposal, disease identification and containment, and others can be easily tackled using computers..
  9. 15. Accuracy refers to the degree of exactness with which computations are made and operations are performed. One might spend years in detecting errors in computer calculations or updating a wrong record. Errors attributable to hardware are normally detected and corrected by the computer system itself.
  10. 16. Filters are commonly used within web-based applications to narrow the user's list of choices to a more manageable and usable number.
  11. 18. Data is information that can be interpreted and used by computers. It is a collection of facts, such as numbers, words, measurements, observations or even just descriptions of things. In computing, data is typically stored electronically in the form of files or databases.
  12. 20. Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy.