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In 1987, Sams was split into three divisions with the computer book division transferred to what later became Macmillan Computer Publishing. [ 1 ] Macmillan Computer Publishing was sold in 1991 to Paramount Communications , the parent company of Simon & Schuster , which absorbed the computer publishing division. [ 2 ]
An internetwork is the connection of multiple different types of computer networks to form a single computer network using higher-layer network protocols and connecting them together using routers. The Internet is the largest example of internetwork. It is a global system of interconnected governmental, academic, corporate, public, and private ...
Pearson Education, known since 2011 as simply Pearson, is the educational publishing and services subsidiary of the international corporation Pearson plc.The subsidiary was formed in 1998, when Pearson plc acquired Simon & Schuster's educational business and combined it with Pearson's existing education company Addison-Wesley Longman. [1]
Addison–Wesley is an American publisher of textbooks and computer literature. It is an imprint of Pearson plc, a global publishing and education company.In addition to publishing books, Addison–Wesley also distributes its technical titles through the O'Reilly Online Learning e-reference service.
In addition to computer security, Easttom has done work in software engineering., [9] [10] applied mathematics, quantum computing, and other areas. He has authored 43 books [11] on computer security, programming languages, Linux, cyber forensics, quantum computing, computer networks, penetration testing, and cryptography. His books are used as ...
Unix Network Programming is a book written by W. Richard Stevens. [1] It was published in 1990 by Prentice Hall and covers many topics regarding UNIX networking and Computer network programming . The book focuses on the design and development of network software under UNIX.
The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and computer vision. [7]
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