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Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Q

Description: payment | shipping rates | returns Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions Product Category : Books ISBN : 9781492055594 Title : Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions EAN : 9781492055594 Authors : Tok, Wee Hyong,Shah, Parashar,Mukunthu, Deepak Binding : Paperback Publisher : O'Reilly Media Publication Date : 2019-10-15 Pages : 198 Signed : False First Edition : False Dust Jacket : False List Price (MSRP) : 59.99 Height : 0.4724 inches Width : 6.9291 inches Length : 9.1339 inches Weight : 0.7363 pounds Condition : Good About hpb-red Selling quality books and media since 1972. Customer service is our top priority! Payment We accept several payment types. They are shown above. Shipping Please click the "Shipping and Payments" tab above for details. Returns Your satisfaction is very important to us. Please contact us via the methods available within eBay regarding any problems before leaving negative feedback. You have 60 days from purchase to request a refund. © 2024 hpb-red

Price: 24.3 USD

Location: Carrollton, Texas

End Time: 2024-11-09T03:34:49.000Z

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Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Q

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money Back

Book Title: Practical Automated Machine Learning on Azure: Using Azure Machin

Number of Pages: 196 Pages

Language: English

Publication Name: Practical Automated Machine Learning on Azure : Using Azure Machine Learning to Quickly Build AI Solutions

Publisher: O'reilly Media, Incorporated

Publication Year: 2019

Item Height: 0.6 in

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

Item Weight: 12.6 Oz

Type: Textbook

Author: Parashar Shah, Deepak Mukunthu, Wee Hyong Tok

Item Length: 9.1 in

Subject Area: Computers, Science

Item Width: 7 in

Format: Trade Paperback

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