Modern Project Management-Foundations..,Claude W.Burrill &Leon W. Ellsworth-‘81

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The product is a textbook titled "Quality Data Processing" written by Claude W. Burrill & Leon W. Ellsworth in 1982. It is a hardcover book in English focusing on the subject areas of computers, technology, and engineering. The authors provide detailed information on data processing techniques, making it a valuable resource for students and professionals interested in the field. See Photos

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Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Huma – GOOD

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Data-Intensive Text Processing with MapReduce (Synthesis Lectures on Huma - GOOD Product Id:1608453421 Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc...

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1st ed. 1969 vtg Computer Data Processing Hardcover Gordon B. Davis HC DJ

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fresh removable DJ protector. super-rare DJ is present, and archivally protected. book is about fine; bright, tight and clean inside and out. no writing within. Original DJ is about near fine with a couple of small minor closed edge tears. a very nice copy of what is considered an O.G. of early computer books.

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Computers and Data Processing – 1st Ed-1982 – Capron/Williams – ISBN 0805322019

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ISBN-10: 0805322019 (0-805-32201-9). – H. L. Capron. – Brian K. Williams. Publication Date: 1982. Computers and Data Processing. Book Condition: Used book in good condition- shows typical wear. - see my pics of the actual book you will receive.

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Machine Learning For Predictive Data Analytics

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"Machine Learning For Predictive Data Analytics" is a textbook published by The MIT Press in 2020, authored by Brian Mac Namee, John D. Kelleher, and Aoife F’ Arcy. It focuses on the subject area of computers and data processing, providing insights into machine learning techniques for predictive data analytics. Written in English, this hardcover book serves as a valuable resource for students and professionals looking to deepen their understanding of data-driven decision-making using machine learning algorithms. With its comprehensive coverage and expert authors, this textbook offers a thorough exploration of the intersection between machine learning and predictive data analytics.

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