Description: In very good condition. Corners have some minor wear. No highlights or markings. See pictures for details. This textbook titled "Machine Learning in Production: Developing and Optimizing Data Science Workflows" is a comprehensive guide for anyone interested in the subject area of computers. The book covers various aspects of databases, data mining, and programming languages, specifically focusing on Python. It was published in 2019 by Addison Wesley Professional and is part of the Addison-Wesley Data and Analytics Ser. series. The book is authored by Adam Kelleher and Andrew Kelleher and has 288 pages. It is available in a trade paperback format and weighs 19.8 Oz. The book is written in English and has dimensions of 9.1 in x 7.1 in x 0.8 in. This textbook is an excellent resource for anyone interested in the subject of machine learning in production and developing data science workflows.
Price: 40 USD
Location: Liberty, Missouri
End Time: 2024-12-06T18:23:09.000Z
Shipping Cost: 4.99 USD
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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
Number of Pages: 288 Pages
Language: English
Publication Name: Machine Learning in Production : Developing and Optimizing Data Science Workflows and Applications
Publisher: Addison Wesley Professional
Item Height: 0.8 in
Subject: Databases / Data Mining, Programming Languages / Python
Publication Year: 2019
Item Weight: 19.8 Oz
Type: Textbook
Author: Adam Kelleher, Andrew Kelleher
Subject Area: Computers
Item Length: 9.1 in
Item Width: 7.1 in
Series: Addison-Wesley Data and Analytics Ser.
Format: Trade Paperback
