Texts in Computer Science Ser.: Algorithm Design Manual by Steven S. Skiena…

New and unused. Free shipping in US. Cheers! The Texts in Computer Science Ser.: Algorithm Design Manual by Steven S. Skiena is a comprehensive textbook for computer science students, professionals, and anyone interested in algorithm design. This third edition provides in-depth coverage of various algorithms, data structures, and techniques, with a focus on design and practical aspects. The book includes detailed explanations, illustrations, and code examples to help readers understand complex concepts. It is a valuable resource for those looking to enhance their skills in algorithm design and analysis, making it a must-have for anyone in the field of computer science.

Chapman and Hall/Crc Textbooks in Computing Ser.: Introduction to Programming…

The product is a textbook titled “Introduction to Programming and Problem-Solving Using Scala” by authors Mark C. Lewis and Lisa Lacher. Published by CRC Press LLC in 2016, this textbook is part of the Chapman and Hall/Crc Textbooks in Computing Series. It covers subjects related to computers, mathematics, and programming languages, making it suitable for students and professionals interested in programming with Scala. With a mixed lot format and 566 pages, this book offers a comprehensive introduction to programming and problem-solving using the Scala programming language.

Springer Texts in Statistics Ser.: Introduction to Statistical Learning :…

“Introduction to Statistical Learning: with Applications in R” is a comprehensive textbook published by Springer in the series “Springer Texts in Statistics Ser.”. Written by authors Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, this 607-page hardcover book covers a range of subjects including programming, probability, and statistics. With a focus on practical applications, the book includes examples and exercises using the R programming language. This textbook is a valuable resource for students and professionals looking to deepen their understanding of statistical learning techniques.