Algorithms in C++ Pts. 1-4 : Fundamentals, Data Structure, Sortin
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Algorithms in C++ Pts. 1-4 : Fundamentals, Data Structure, Sortin
Chromebooks in easy steps: Ideal for Seniors
Condition Notes: Gently read. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving.
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Chromebooks in easy steps: Ideal for Seniors
Algorithms for RPN Calculators by John A. Ball 1978 Edition Wiley Interscience
Hardcover and dust jacket, 1978 Edition. Published by Wiley Interscience.
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Algorithms for RPN Calculators by John A. Ball 1978 Edition Wiley Interscience
Data Mesh: Delivering Data-Driven Value at Scale – Paperback – O’Reilly 2022
Excellent condition pre-owned copy with no writing, marking, damage, distress, or identifiable defects. Will be packaged and shipped carefully same or next day by an experienced seller.
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Data Mesh: Delivering Data-Driven Value at Scale – Paperback – O’Reilly 2022
CompTIA A+ Guide to IT Technical Support (MindTap Course List) by Andrews, Jean
CompTIA A+ Guide to IT Technical Support (MindTap Course List). Title : CompTIA A+ Guide to IT Technical Support (MindTap Course List). Authors : Andrews, Jean. May not include working access code. Will not include dust jacket.
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CompTIA A+ Guide to IT Technical Support (MindTap Course List) by Andrews, Jean
SOLVING COMBINATORIAL OPTIMIZATION PROBLEMS IN PARALLEL By Alfonso NEW
SOLVING COMBINATORIAL OPTIMIZATION PROBLEMS IN PARALLEL METHODS AND TECHNIQUES (LECTURE NOTES IN COMPUTER SCIENCE) By Alfonso Ferreira & Panos Pardalos **BRAND NEW**.
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SOLVING COMBINATORIAL OPTIMIZATION PROBLEMS IN PARALLEL By Alfonso NEW
An Introduction to Statistical Learning: With Applications in R by James VG COND
"An Introduction to Statistical Learning: With Applications in R" is a comprehensive textbook by authors Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten. Published by Springer New York in 2017, this hardcover book covers a range of topics in mathematics and statistics, including machine learning and data analysis. With 426 pages and in English, this textbook is a valuable resource for students and professionals in the field of statistical learning. The book also includes practical applications in R, making it a practical and informative tool for those looking to deepen their understanding of statistical methods.
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An Introduction to Statistical Learning: With Applications in R by James VG COND
Springer Texts in Statistics Ser.: Introduction to Statistical Learning :…
Introduction to Statistical Learning: With Applications in R is a comprehensive textbook exploring topics in computers, mathematics, and statistical software. Published by Springer New York in 2017, this book offers a detailed introduction to statistical learning methods with a focus on R programming. Written by authors Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, this hardcover textbook is a valuable resource for students and professionals interested in mathematical and statistical software, probability and statistics, and artificial intelligence and semantics. With 426 pages and a series of informative examples and exercises, this textbook provides a thorough introduction to the field of statistical learning.
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Springer Texts in Statistics Ser.: Introduction to Statistical Learning :…
The Art of Clean Code: Best Practices to Eliminate Complexity and Simplify Your
Publisher : No Starch Press. Dust Jacket : False. LIKE NEW! Has a red or black remainder mark on bottom/exterior edge of pages. Product Category : Books. Product Subcategory : Python Programming. First Edition : False.
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The Art of Clean Code: Best Practices to Eliminate Complexity and Simplify Your