This mini version is a smart choice for students with limited locker space.
Rua Penha de França 217B - disgraca@riseup.net
Term: Mathematics, Computers
PowerShell for Beginners: Learn PowerShell 7 Through Hands-On Mini Games, Waters
This mini version fits nicely in a desk drawer when not in use.
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.
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**.
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**.
The Big Book of Small Python Projects: 81 Easy Practice Programs – VERY GOOD
Notes: Item in very good condition!
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.
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.
R in a Nutshell
Used item in good condition.
Algorithm Design: Foundations, Analysis, and Internet Examples by Michael T. NEW
“Algorithm Design: Foundations, Analysis, and Internet Examples” by Michael T. Goodrich is a comprehensive textbook on computer science and mathematics. Published by Wiley & Sons, it covers the fundamentals of algorithm design, analysis, and provides internet examples for practical application. With a focus on both theory and practice, this book is a valuable resource for students and professionals in the field. The authors, Roberto Tamassia and Michael T. Goodrich, offer clear explanations and insights to help readers understand and apply algorithms in various programming languages, specifically C.