Essential Math for Data Science ~ Thomas Nield ~ 9781098102937 Paperback - 2022
by Thomas Nield
- New
A$70.75
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Standard delivery: 7 to 14 days
Ships from Yona Markets (California, United States)
Details
- Title Essential Math for Data Science ~ Thomas Nield ~ 9781098102937
- Author Thomas Nield
- Binding Paperback
- Condition New
- Pages 349
- Volumes 1
- Language ENG
- Publisher O'Reilly Media
- Publication date 2022-07-05
- Illustrated Yes
- Features Illustrated, Index
- Bookseller's Inventory # 188001730355
- ISBN 9781098102937 / 1098102932
- Weight 1.24 lbs (0.56 kg)
- Dimensions 9.19 x 7 x 0.73 in (23.34 x 17.78 x 1.85 cm)
- Category Computers - General Information
- Library of Congress subjects Probabilities, Mathematical statistics
- Dewey Decimal Code 005.701
- Quantity available 6
About Yona Markets California, United States
Biblio member since 2026
Yona Market is an independent online bookseller specializing in medical and engineering books. We offer a carefully selected range of both new and used titles to support students, professionals, and lifelong learners.
Our focus is on providing quality books at competitive prices, with accurate descriptions and reliable service. Every order is handled with care to ensure a smooth and trustworthy buying experience.
30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.
Reader reviews for Essential Math for Data Science ~ Thomas Nield ~ 9781098102937
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information