{"product_id":"9781800562882-engineering-mlops","title":"Engineering MLOps","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eRapidly build, test, and manage production-ready machine learning life cycles at scale. Get to grips with ML lifecycle management and MLOps implementation for your organization. This book will give you comprehensive insights into MLOps coupled with real-world examples in Azure that will teach you how to write programs, train robust and scalable ML models, and build ML pipelines to train, deploy, and monitor models securely in . \u003cp\u003e\u003cb\u003eGet up and running with machine learning life cycle management and implement MLOps in your organization\u003c\/b\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eBecome well-versed with MLOps techniques to monitor the quality of machine learning models in production\u003c\/li\u003e\n\u003cli\u003eExplore a monitoring framework for ML models in production and learn about end-to-end traceability for deployed models\u003c\/li\u003e\n\u003cli\u003ePerform CI\/CD to automate new implementations in ML pipelines\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eEngineering MLps presents comprehensive insights into MLOps coupled with real-world examples in Azure to help you to write programs, train robust and scalable ML models, and build ML pipelines to train and deploy models securely in production.\u003c\/p\u003e\n\u003cp\u003eThe book begins by familiarizing you with the MLOps workflow so you can start writing programs to train ML models. Then you’ll then 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. You’ll learn how to build ML pipelines, continuous integration and continuous delivery (CI\/CD) pipelines, and monitor pipelines to systematically build, deploy, monitor, and govern ML solutions for businesses and industries. Finally, you’ll apply the knowledge you’ve gained to build real-world projects.\u003c\/p\u003e\n\u003cp\u003eBy the end of this ML book, you'll have a 360-degree view of MLOps and be ready to implement MLOps in your organization.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eFormulate data governance strategies and pipelines for ML training and deployment\u003c\/li\u003e\n\u003cli\u003eGet to grips with implementing ML pipelines, CI\/CD pipelines, and ML monitoring pipelines\u003c\/li\u003e\n\u003cli\u003eDesign a robust and scalable microservice and API for test and production environments\u003c\/li\u003e\n\u003cli\u003eCurate your custom CD processes for related use cases and organizations\u003c\/li\u003e\n\u003cli\u003eMonitor ML models, including monitoring data drift, model drift, and application performance\u003c\/li\u003e\n\u003cli\u003eBuild and maintain automated ML systems\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis MLOps book is for data scientists, software engineers, DevOps engineers, machine learning engineers, and business and technology leaders who want to build, deploy, and maintain ML systems in production using MLOps principles and techniques. Basic knowledge of machine learning is necessary to get started with this book.\u003c\/p\u003e\n\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":41078930636897,"sku":"9781800562882","price":45.72,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/fdfcb0801be2276c372d0995de88c818.png?v=1700207991","url":"https:\/\/www.rarewaves.com\/products\/9781800562882-engineering-mlops","provider":"Rarewaves.com","version":"1.0","type":"link"}