Pro Hadoop by Jason Venner (2009, Trade Paperback)

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"Pro Hadoop" by Jason Venner is a comprehensive textbook covering a wide range of subjects related to computers, mathematics, software development, probability, statistics, web programming, and databases. Published in 2009 by Apress L. P., this trade paperback edition features 440 pages and is written in English. As a new edition, it offers a detailed exploration of Hadoop and related technologies, making it a valuable resource for students and professionals in the field. With a focus on practical applications and insights, this book is a must-have for anyone looking to deepen their understanding of Hadoop and its uses in the technology industry.

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Computer Science : A Structured Programming Approach in C by Forouzan (2023)

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Authors are Hassan Afyouni, Ed. D. And Behrouz A. Forouzan. The book shows a very minor shelf wear at the corners of the pages, but is otherwise in excellent condition. I have gone page by page through the first 500 pages and see no markings of any kind. I thumbed through the second half multiple times.

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Probability for Statistics and Machine Learning -anirbas Dasgupta Springer

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Not brand new but hardly used Probability for Statistics and Machine Learning" by Anirban Dasgupta is a comprehensive textbook published by Springer New York in 2013. This book covers fundamental and advanced topics in probability theory, specifically focused on applications in statistics and machine learning. With a total of 784 pages, this trade paperback book is a valuable resource for students and professionals looking to deepen their understanding of probability concepts in the context of computer simulation and bioinformatics. Written in English, this textbook presents complex topics in an accessible and informative manner.

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Probability for Statistics and Machine Learning -anirbas Dasgupta Springer

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Not brand new but hardly used Probability for Statistics and Machine Learning" by Anirban Dasgupta is a comprehensive textbook published by Springer New York in 2013. This book covers fundamental and advanced topics in probability theory, specifically focused on applications in statistics and machine learning. With a total of 784 pages, this trade paperback book is a valuable resource for students and professionals looking to deepen their understanding of probability concepts in the context of computer simulation and bioinformatics. Written in English, this textbook presents complex topics in an accessible and informative manner.

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