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C PROGRAMMING FOR MACHINE LEARNING APPLICATIONS

by Dr. M. Saravanan , Prince Sood , Prof. Sunil Kr Pandey , Vandana

📖 The Scoop

A computer is a piece of electronic equipment that operates based on the specifications that are provided by the user. In light of the fact that the computer is incapable of comprehending natural language, it is necessary to offer the instructions in a form that can be understood by the computer. Programming language is the name given to this type of language that can be understood by computers. People are able to write instructions in a format that can be interpreted by the computer system through the use of a computer programming language, which is comprised of a set of symbols and letters, words, and grammar rules. The computer the art of making a computer perform the actions that you want it to perform is known as programming. Programming is a field that focuses on the analytical generation of source code that may be used to configure computer systems. Software development is another subfield of computer programming. It is possible for computer programmers to choose to work in a wide variety of programming functions, or they may choose to specialise in a particular area of the creation, support, or maintenance of computers for use in the workplace or for personal use. Programmers are the professionals who lay the foundation for the establishment and continued operation of the systems that a large number of people rely on for the flow of information in a variety of contexts, including those linked to commerce and those related to entertainment. In order to enable experiment teaching, reflect the characteristics of information, make its more standardized and more scientific, so designed and developed a set of C language assistant platform, it's very good to a certain extent solved the above problems, the platform is simple and practical, is good tool for teachers teaching and experiment management and student experiment of network course learning under the network environment.

Genre: Computers / Data Science / Machine Learning (fancy, right?)

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