Get up and running with ML life cycle management and the implementation of MLOps for your organization Key Features * Get well-versed with MLOps techniques to monitor the quality of machine learning models in production * Explore a monitoring framework for ML models in production and learn about end-to-end traceability for deployed models * Perform CI/CD to automate new implementations in ML pipelines Book Description MLOps is a systematic approach to building, deploying, and monitoring machine learning solutions. It is an engineering discipline that can be applied to many industries and use cases. This book is filled with real-world examples to help you to write programs, train robust and scalable machine learning (ML) models, and build ML pipelines to train and deploy models securely in production. You will begin by finding out how to monitor ML and system performance in production. Then, you'll move on to explore options for serializing and packaging ML models post-training to deploy them to facilitate machine learning inference, model interoperability, and end-to-end model traceability. Finally, you'll use the knowledge you've gained to build real-world projects. By the end of this machine learning book, you'll have learned how to build ML pipelines, continuous integration and continuous delivery (CI/CD) pipelines, and monitoring pipelines to systematically build, deploy, and monitor ML solutions for businesses and industries. What you will learn * Formulate data governance strategies and pipelines for machine learning training and deployment * Curate your custom CD processes for related use cases and organizations * Monitor ML models, including input monitoring, prediction monitoring, and model drift monitoring * Build and maintain automated ML systems * Implement ML pipelines, CI/CD pipelines, and ML monitoring pipelines * Design a robust and scalable microservice and API for test and production environments Who This Book Is For This book is for data scientists, software engineers, DevOps engineers, and machine learning developers who want to build, deploy, and maintain ML systems in production efficiently using MLOps principles and techniques. Basic knowledge of machine learning is required.

Book Information
ISBN 9781800562882
Author Emmanuel Raj
Format Paperback
Page Count 282
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited
Weight(grams) 191g