Description: This textbook titled "Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps" is a must-have for anyone interested in the subject area of Computers, Science. The book, published by O'Reilly Media, Incorporated in 2020, is a comprehensive guide that provides solutions to the common challenges faced in the field of Machine Learning. The book covers a wide range of topics such as Enterprise Applications, Business Intelligence Tools, Intelligence (Ai) & Semantics, and General. The author of the book is Sara Robinson, Valliappa Lakshmanan, and Michael Munn. The textbook is available in Trade Paperback format and has 400 Pages.
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Location: San Francisco, California
End Time: 2024-10-04T20:35:14.000Z
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Number of Pages: 400 Pages
Language: English
Publication Name: Machine Learning Design Patterns : Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
Publisher: O'reilly Media, Incorporated
Subject: Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics, General
Publication Year: 2020
Item Height: 0.8 in
Type: Textbook
Item Weight: 24.6 Oz
Subject Area: Computers, Science
Author: Sara Robinson, Valliappa Lakshmanan, Michael Munn
Item Length: 9.3 in
Item Width: 7.8 in
Format: Trade Paperback