Description: About this Item The item is a book Paperback The Author Name is Lynn Heidmann The Title is Introducing MLOps : How to Scale Machine Learning in the Enterprise Condition New Other Comments Pages Count - 183. Category - Computers Product Description - More than half of the analytics and machine learning ML models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you:Fulfill data science value by reducing friction throughout ML pipelines and workflowsRefine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracyDesign the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainableOperationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized 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 167505243
Price: 89.67 USD
Location: US
End Time: 2024-11-22T12:36:13.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
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: 0.3
Style: NA
Title: Introducing MLOps How to Scale Machine Learning in the Enterpri
Release Title: Introducing MLOps How to Scale Machine Learning in the Enterpri
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Introducing MLOps How to Scale Machine Learning in the Enterpr
Colour: NA
Material: NA
Department: NA
Movie/TV Title: Introducing MLOps How to Scale Machine Learning in the Enterpr
UPC: 9781492083290
EAN: 9781492083290
ISBN: 9781492083290
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
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
