Description: About this Item The item is a book Paperback The Author Name is Noah Gift The Title is Implementing MLOps in the Enterprise : A Production-First Approach Condition New Other Comments Pages Count - 377. Category - Computers Product Description - With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs. You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you:Learn the MLOps process, including its technological and business valueBuild and structure effective MLOps pipelinesEfficiently scale MLOps across your organizationExplore common MLOps use casesBuild MLOps pipelines for hybrid deployments, real-time predictions, and composite AILearn how to prepare for and adapt to the future of MLOpsEffectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy 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. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167444257
Price: 107.93 USD
Location: US
End Time: 2024-11-22T11:58:23.000Z
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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
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: O'Reilly Media
Weight: 0.6
Style: NA
Title: Implementing MLOps in the Enterprise A Production-First Approac
Release Title: Implementing MLOps in the Enterprise A Production-First Approac
Record Grading: New
Sleeve Grading: New
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Size: NA
Film/TV Title: Implementing MLOps in the Enterprise A Production-First Approa
Colour: NA
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Movie/TV Title: Implementing MLOps in the Enterprise A Production-First Approa
UPC: 9781098136581
EAN: 9781098136581
ISBN: 9781098136581
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: 377 Pages
Publication Name: Implementing Mlops in the Enterprise : a Production-First Approach
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Machine Theory, Enterprise Applications / Business Intelligence Tools, Intelligence (Ai) & Semantics, Natural Language Processing, Neural Networks, Computer Vision & Pattern Recognition
Item Height: 0.9 in
Publication Year: 2024
Item Weight: 22.6 Oz
Type: Textbook
Author: Noah Gift, Yaron Haviv
Item Length: 9.1 in
Subject Area: Computers
Item Width: 7 in
Format: Trade Paperback
