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Wand - Artificial Neural Networks and Machine Learning - Icann 2024 - S9000z

Description: Comments - Pages Count - 00480. This item is NOT Returnable. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. Location ID 9000z iHaveit SKU ID 167676989

Price: 108.98 USD

Location: US

End Time: 2024-11-27T12:46:14.000Z

Shipping Cost: 0 USD

Product Images

Wand - Artificial Neural Networks and Machine Learning - Icann 2024   - S9000z

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

Brand: NA

Style: NA

Artist: WandMichael

Title: Artificial Neural Networks and Machine Learning - Icann 2024 33r

Release Title: Artificial Neural Networks and Machine Learning - Icann 2024 33r

Record Label: SPRINGER

Record Grading: New

Sleeve Grading: New

Film/TV Title: Artificial Neural Networks and Machine Learning - Icann 2024 33r

Movie/TV Title: Artificial Neural Networks and Machine Learning - Icann 2024 33

UPC: 9783031723315

EAN: 9783031723315

Item Height: 0.0

Main Stone: NA

Metal Purity: NA

Metal: NA

Connectivity: NA

Model: NA

Number of Pages: Xxxiii, 480 Pages

Publication Name: Artificial Neural Networks and Machine Learning - ICANN 2024 : 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part I

Language: English

Publisher: Springer

Publication Year: 2024

Subject: Intelligence (Ai) & Semantics, General, Enterprise Applications / General

Type: Textbook

Author: Kristína Malinovská

Item Length: 9.3 in

Subject Area: Computers

Item Width: 6.1 in

Series: Lecture Notes in Computer Science Ser.

Format: Trade Paperback

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