Order Total (1 Item Items):
Shipping Destination:
9781803247595 - Machine Learning Engineering on Aws: Build, Scale, and Secure Machine Learning Systems and Mlops Pipelines in Production by Lat, Joshua Arvin (17 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (17)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (15)
- As New, Fine or Near Fine (2)
- Very Good or Good (No further results match this refinement)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
- All Bindings
- Hardcover (No further results match this refinement)
- Softcover (17)
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (4)
- Not Print on Demand (9)
Language (1)
Price
- Any Price
- Under £ 20 (No further results match this refinement)
- £ 20 to £ 35 (No further results match this refinement)
- Over £ 35
Free Shipping
Seller Location
Seller Rating
-
Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production (Paperback or Softback)
Language: English
Published by Packt Publishing 10/27/2022, 2022
ISBN 10: 1803247592 ISBN 13: 9781803247595
Paperback or Softback. Condition: New. Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production. Book.
-
-
-
Condition: As New. Unread book in perfect condition.
-
Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 39.25
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
-
Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production
Language: English
Published by Packt Publishing 2022-10-27, 2022
ISBN 10: 1803247592 ISBN 13: 9781803247595
£ 39.78
£ 15.49 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback. Condition: New.
-
Machine Learning Engineering on AWS
Language: English
Published by Packt Publishing, Limited, 2022
ISBN 10: 1803247592 ISBN 13: 9781803247595
Condition: New. pp. 530.
-
Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
Machine Learning Engineering on AWS
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 42.80
£ 5.87 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
-
Machine Learning Engineering on AWS
Language: English
Published by Packt Publishing, Limited, 2022
ISBN 10: 1803247592 ISBN 13: 9781803247595
Condition: New. Print on Demand pp. 530.
-
Machine Learning Engineering on AWS: Building, Scaling, and Securing Machine Learning Systems and MLOps Pipelines in Production
Language: English
Published by Packt Publishing Limited, 2022
ISBN 10: 1803247592 ISBN 13: 9781803247595
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 50.36
£ 11.75 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
-
Machine Learning Engineering on AWS
Language: English
Published by Packt Publishing, Limited, 2022
ISBN 10: 1803247592 ISBN 13: 9781803247595
Condition: New. PRINT ON DEMAND pp. 530.
-
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
-
Taschenbuch. Condition: Neu. Machine Learning Engineering on AWS | Build, scale, and secure machine learning systems and MLOps pipelines in production | Joshua Arvin Lat | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Packt Publishing | EAN 9781803247595 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
-
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Work seamlessly with production-ready machine learning systems and pipelines on AWS by addressing key pain points encountered in the ML life cycleKey Features:Gain practical knowledge of managing ML workloads on AWS using Amazon SageMaker, Amazon EKS, and moreUse container and serverless services to solve a variety of ML engineering requirementsDesign, build, and secure automated MLOps pipelines and workflows on AWSBook Description:There is a growing need for professionals with experience in working on machine learning (ML) engineering requirements as well as those with knowledge of automating complex MLOps pipelines in the cloud. This book explores a variety of AWS services, such as Amazon Elastic Kubernetes Service, AWS Glue, AWS Lambda, Amazon Redshift, and AWS Lake Formation, which ML practitioners can leverage to meet various data engineering and ML engineering requirements in production.This machine learning book covers the essential concepts as well as step-by-step instructions that are designed to help you get a solid understanding of how to manage and secure ML workloads in the cloud. As you progress through the chapters, you'll discover how to use several container and serverless solutions when training and deploying TensorFlow and PyTorch deep learning models on AWS. You'll also delve into proven cost optimization techniques as well as data privacy and model privacy preservation strategies in detail as you explore best practices when using each AWS.By the end of this AWS book, you'll be able to build, scale, and secure your own ML systems and pipelines, which will give you the experience and confidence needed to architect custom solutions using a variety of AWS services for ML engineering requirements.What You Will Learn:Find out how to train and deploy TensorFlow and PyTorch models on AWSUse containers and serverless services for ML engineering requirementsDiscover how to set up a serverless data warehouse and data lake on AWSBuild automated end-to-end MLOps pipelines using a variety of servicesUse AWS Glue DataBrew and SageMaker Data Wrangler for data engineeringExplore different solutions for deploying deep learning models on AWSApply cost optimization techniques to ML environments and systemsPreserve data privacy and model privacy using a variety of techniquesWho this book is for:This book is for machine learning engineers, data scientists, and AWS cloud engineers interested in working on production data engineering, machine learning engineering, and MLOps requirements using a variety of AWS services such as Amazon EC2, Amazon Elastic Kubernetes Service (EKS), Amazon SageMaker, AWS Glue, Amazon Redshift, AWS Lake Formation, and AWS Lambda -- all you need is an AWS account to get started. Prior knowledge of AWS, machine learning, and the Python programming language will help you to grasp the concepts covered in this book more effectively.
