Description: Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked E ISBN : 9780262044691 Title : Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked E Authors : Kelleher, John D., Mac Namee, Brian, D''''Arcy, Aoife Binding : Hardcover Publisher : The MIT Press Publication Date : Oct 20 2020 Condition : Used - Good Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Payment We accept PayPal for all eBay orders. Please see payment details below. We will only ship to the address that is entered into PayPal when payment is made! Shipping Multiple shipping options are available for this item. For more detail, please see below, and select the shipping option that is most convenient for you. Returns We have a 30 day return policy. The return must be postmarked within 30 days of the delivery date. Once the item has been returned, we will initiate an item-only refund (shipping costs are non-refundable). We do not provide return labels for general returns.
Price: 57.71 USD
Location: Columbia, Missouri
End Time: 2024-12-12T16:38:11.000Z
Shipping Cost: 0 USD
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Restocking Fee: No
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
Book Title: Fundamentals of Machine Learning for Predictive Data Analytics, s
Number of Pages: 856 Pages
Publication Name: Fundamentals of Machine Learning for Predictive Data Analytics, Second Edition : Algorithms, Worked Examples, and Case Studies
Language: English
Publisher: MIT Press
Publication Year: 2020
Item Height: 1.3 in
Subject: Programming / Algorithms, Intelligence (Ai) & Semantics, Computer Science, General
Item Weight: 51.7 Oz
Type: Textbook
Item Length: 9.5 in
Author: Aoife D'arcy, Brian Mac Namee, John D. Kelleher
Subject Area: Computers, Science
Item Width: 7.8 in
Format: Hardcover
