Stock photo: cover may vary
Machine Learning Refined: Foundations, Algorithms, and Applications Hardback - 2020
by Watt, Jeremy,Borhani, Reza,Katsaggelos, Aggelos K
- New
- Hardback
NZ$122.45
NZ$23.57
Delivery to USA
Standard delivery: 6 to 18 days
More delivery options
Standard delivery: 6 to 18 days
Details
- Title Machine Learning Refined: Foundations, Algorithms, and Applications
- Author Watt, Jeremy,Borhani, Reza,Katsaggelos, Aggelos K
- Binding Hardback
- Condition New
- Pages 594
- Volumes 1
- Language ENG
- Publisher Cambridge University Press
- Publication date 2020-01-09
- Features Bibliography, Index
- Bookseller's Inventory # mon0000267455
- ISBN 9781108480727 / 1108480721
- Weight 2.9 lbs (1.32 kg)
- Dimensions 9.8 x 7 x 1.1 in (24.89 x 17.78 x 2.79 cm)
- Size 2.6904 25.3807 18.2741
- Category Technology & Industrial Arts
- Library of Congress subjects Machine learning
- Library of Congress Catalogue Number 2019052924
- Dewey Decimal Code 006.31
- Quantity available 10
- Bookseller catalogues Book
About AMM Books Kent, United Kingdom
Biblio member since 2020
AMM Books has been selling online since 2006 and have sent books all over the world from our base in north Kent, England.
Reader reviews for Machine Learning Refined: Foundations, Algorithms, and Applications
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
