Dear customers, due to a public holiday, customer support is not available today. We will attend to your requests the next business day. Thank you for your understanding.
Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits.
Create an account for free
Contact
How to shop
Help
Delivery
Austrian Post 5.49 €
DPD courier 3.99 €
DPD point 2.99 €
Shopping guide
My account
▸
Empty :-(
0
Dear customers, due to a public holiday, customer support is not available today. We will attend to your requests the next business day. Thank you for your understanding.
MLOps Engineering at Scale
Language
English
English
Book
Paperback
Deploying a machine learning model into a fully realized production system usually requires painst...
Full description
Libristo code: 33298874
?
137 b
137 b
56.09
€
VAT included
50 % chance
We search the world
When will I receive my book?
Delivery to Austria
Delivery to Austria
30-day return policy
Customers also purchased
/
Hardback
24.29
€
Deploying a machine learning model into a fully realized production system usually requires painstaking work by an operations team creating and managing custom servers. Cloud Native Machine Learning helps you bridge that gap by using the pre-built services provided by cloud platforms like Azure and AWS to assemble your ML system’s infrastructure. Following a real-world use case for calculating taxi fares, you’ll learn how to get a serverless ML pipeline up and running using AWS services. Clear and detailed tutorials show you how to develop reliable, flexible, and scalable machine learning systems without time-consuming management tasks or the costly overheads of physical hardware.
about the technology
Your new machine learning model is ready to put into production, and suddenly all your time is taken up by setting up your server infrastructure. Serverless machine learning offers a productivity-boosting alternative. It eliminates the time-consuming operations tasks from your machine learning lifecycle, letting out-of-the-box cloud services take over launching, running, and managing your ML systems. With the serverless capabilities of major cloud vendors handling your infrastructure, you’re free to focus on tuning and improving your models.about the book
Cloud Native Machine Learning is a guide to bringing your experimental machine learning code to production using serverless capabilities from major cloud providers. You’ll start with best practices for your datasets, learning to bring VACUUM data-quality principles to your projects, and ensure that your datasets can be reproducibly sampled. Next, you’ll learn to implement machine learning models with PyTorch, discovering how to scale up your models in the cloud and how to use PyTorch Lightning for distributed ML training. Finally, you’ll tune and engineer your serverless machine learning pipeline for scalability, elasticity, and ease of monitoring with the built-in notification tools of your cloud platform. When you’re done, you’ll have the tools to easily bridge the gap between ML models and a fully functioning production system.what''s inside
- Extracting, transforming, and loading datasets
- Querying datasets with SQL
- Understanding automatic differentiation in PyTorch
- Deploying trained models and pipelines as a service endpoint
- Monitoring and managing your pipeline’s life cycle
- Measuring performance improvements
about the reader
For data professionals with intermediate Python skills and basic familiarity with machine learning. No cloud experience required.about the author
Carl Osipov has spent over 15 years working on big data processing and machine learning in multi-core, distributed systems, such as service-oriented architecture and cloud computing platforms. While at IBM, Carl helped IBM Software Group to shape its strategy around the use of Docker and other container-based technologies for serverless computing using IBM Cloud and Amazon Web Services. At Google, Carl learned from the world’s foremost experts in machine learning and also helped manage the company’s efforts to democratize artificial intelligence. You can learn more about Carl from his blog Clouds With Carl.
Actress
&
Polyglot
EWA KASP
for
Play video
Libristo has the largest selection of foreign-language books. That’s why I buy my books there.
About the book
Full name
MLOps Engineering at Scale
Author
Carl Osipov
Language
English
English
Binding
Book - Paperback
Date of issue
2022
Number of pages
250
EAN
9781617297762
ISBN
1617297763
Libristo code
33298874
Publishers
Manning Publications
Weight
628
Dimensions
234 x 187 x 24
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Paperback
23.09
€
/
Hardback
40.49
€
/
Paperback
66.09
€
