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Prentice Hall was a major American educational publisher. [1] It published print and digital content for the 6–12 and higher-education market. It was an independent company throughout the bulk of the twentieth century. In its last few years it was owned by, then absorbed into, Savvas Learning Company. [2]
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. Addison–Wesley's majority of sales derive ...
Pearson plc is a multinational corporation, headquartered in the UK, focused on educational publishing and services.. Originating in 1844 and named S Pearson and Son by Samuel Pearson in 1856, what began as a small local civil engineering business in Yorkshire grew between 1880 to 1927 into a massive diversified international conglomerate under the subsequent leadership of Samuel's grandson ...
Introduction to Quantum Mechanics, often called Griffiths, is an introductory textbook on quantum mechanics by David J. Griffiths. The book is considered a standard undergraduate textbook in the subject. [1] Originally published by Pearson Education in 1995 with a second edition in 2005, Cambridge University Press (CUP) reprinted the second ...
AIMA gives detailed information about the working of algorithms in AI. 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 ...
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