Vroman's is OPEN for in-store shopping & curbside pick-up seven days a week.
FREE DOMESTIC SHIPPING ON ORDERS OVER $100!

Introducing Mlops: How to Scale Machine Learning in the Enterprise (Paperback)

×

Warning message

Mean Menu style requires jQuery library version 1.7 or higher, but you have opted to provide your own library. Please ensure you have the proper version of jQuery included. (note: this is not an error)
Introducing Mlops: How to Scale Machine Learning in the Enterprise Cover Image
$59.99
Add to Wish List
Usually arrives at our store within 4-7 days

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 workflows
  • Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy
  • Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable
  • Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized
Product Details
ISBN: 9781492083290
ISBN-10: 1492083291
Publisher: O'Reilly Media
Publication Date: December 22nd, 2020
Pages: 186
Language: English