CompTIA A Complete Study Guide: Core 1 Exam 220-1101 and Core 2 Exam 2 – GOOD
CompTIA A Complete Study Guide: Core 1 Exam 220-1101 and Core 2 Exam 2 – GOOD Product Id:1119862914 Condition:USED_GOOD Notes:Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc…
Saxon advanced mathematics (2nd edition) answer key AND test forms (NO TEXTBOOK)
Saxon advanced mathematics (2nd edition) answer key, & test forms. NO TEXTBOOK BRAND NEW
Primary Grade Challenge Math Paperback Edward Zaccaro Hickory Grove Press 2003
Primary Grade Challenge Math Paperback Edward Zaccaro Hickory Grove Press 2003
A Transition to Advanced Mathematics – 9780534122348, hardcover, Douglas Smith
Sku: 0534122345-3-36957095. Condition: Used: Good. Qty Available: 1.
RMS Mathematics, Pre- Algebra Advanced And Honors Grade 4
Huge Art of Problem Solving (AoPS) & Advanced Math Olympiad Book Lot – 14 Books
Back To Basics : Money And Percentages Yr 3-4 & Ages 8-10 (Paperback Workbook)
Practical Maths Skills • Classroom‑Aligned • Paperback Workbook. • Paperback workbook. • Suitable for Ages 8–10 / Years 3–4. • Step‑by‑step practice to strengthen foundational maths skills. • Maths revision and skill‑building.
Introduction To Commutative Algebra by M.F. Atiyah & I.G. MacDonald HC / India
The product is a hardcover textbook titled “Introduction to Commutative Algebra” by M.F. Atiyah & I.G. MacDonald. Published by Levant Books in 2007, this international edition features content in English and includes 128 pages.
Mathematics for the HiSET Test; Hiset Student Book- 1564208850, paperback, Press
Mathematics for the HiSET Test (Hiset Student Books). Author: New Readers Press. Qty Available: 1.
Mathematics for Machine Learning by Marc Peter Deisenroth 9781108455145
“Mathematics for Machine Learning” by Marc Peter Deisenroth is a comprehensive textbook focusing on the mathematical foundations of machine learning. Published by Cambridge University Press in 2020, this 1st edition trade paperback features 398 pages and covers a range of mathematical topics relevant to computer vision and pattern recognition. Written in English, this book is a valuable resource for students and professionals looking to deepen their understanding of mathematical concepts in the context of machine learning. With detailed explanations and insights, this book serves as an essential companion for those interested in the intersection of mathematics and machine learning.