Description: Note: Any images shown are stock photographs and product may differ from what is shown. You are purchasing a Acceptable copy of 'Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications)'Condition Notes: Used book - May contain writing, notes, highlighting, bends or folds. Text is readable, book is clean, and pages and cover mostly intact. May show normal wear and tear. Item may be missing CD. May include library marks. Fast Shipping
Price: 42.57 USD
Location: Little Falls, New Jersey
End Time: 2024-11-23T05:35:36.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Return policy details:
Release Year: 2023
Book Title: Introduction to Transfer Learning: Algorithms and Practice (Ma...
Number of Pages: Xxi, 329 Pages
Publication Name: Introduction to Transfer Learning : Algorithms and Practice
Language: English
Publisher: Springer
Publication Year: 2023
Subject: Computer Graphics, Probability & Statistics / General, Intelligence (Ai) & Semantics, Computer Science, Speech & Audio Processing
Type: Textbook
Item Weight: 24.5 Oz
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Author: Jindong Wang, Yiqiang Chen
Series: Machine Learning: Foundations, Methodologies, and Applications Ser.
Item Width: 6.1 in
Format: Hardcover
