Description: This book is a must-have for anyone interested in the subject area of computers, specifically in enterprise applications, business intelligence tools, machine theory, intelligence (Ai) & semantics. It provides a comprehensive guide on how to scale machine learning in the enterprise, covering topics such as MLOps, data engineering, and AI governance.The book, titled "Introducing Mlops : How to Scale Machine Learning in the Enterprise" is authored by Du Phan, Mark Treveil, Nicolas Omont, Kenji Lefevre, and Clement Stenac and published by O'reilly Media, Incorporated in 2021. It is available in trade paperback format and has 183 pages. The book is written in English and measures 9.2 inches in length, 7 inches in width, and 0.6 inches in height. It weighs 12.8 ounces and is categorized under textbooks, textbooks, education & reference, and books & magazines.
Price: 17 USD
Location: Chesterfield, Missouri
End Time: 2024-11-05T21:59:11.000Z
Shipping Cost: 5.38 USD
Product Images
Item Specifics
All returns accepted: ReturnsNotAccepted
Number of Pages: 183 Pages
Language: English
Publication Name: Introducing Mlops : How to Scale Machine Learning in the Enterprise
Publisher: O'reilly Media, Incorporated
Item Height: 0.6 in
Subject: Enterprise Applications / Business Intelligence Tools, Machine Theory, Intelligence (Ai) & Semantics
Publication Year: 2021
Type: Textbook
Item Weight: 12.8 Oz
Subject Area: Computers
Author: Du Phan, Mark Treveil, Nicolas Omont, Clement Stenac, Kenji Lefevre
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
