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Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and C

Description: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control ISBN : 9781009098489 Title : Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control Authors : Binding : hardcover Publisher : Cambridge University Press Publication Date : Jul 28 2022 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: 45.55 USD

Location: Columbia, Missouri

End Time: 2024-12-19T04:15:04.000Z

Shipping Cost: 0 USD

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Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and C

Item Specifics

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: Data-Driven Science and Engineering: Machine Learning, Dynamical

Number of Pages: 550 Pages

Language: English

Publication Name: Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control

Publisher: Cambridge University Press

Subject: Engineering (General), General

Item Height: 1.2 in

Publication Year: 2022

Item Weight: 48.1 Oz

Type: Textbook

Item Length: 10.2 in

Author: J. Nathan Kutz, Steven L. Brunton

Subject Area: Computers, Technology & Engineering

Item Width: 7.2 in

Format: Hardcover

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