Körner, Christoph
Mastering Azure Machine Learning - Second Edition: Execute large-scale end-to-end machine learning with Azure
- ISBN 13:
- 9781803232416
- author:
- Körner, Christoph
- format:
- Paperback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2022
- Pages:
- 624
- Dimensions:
- 23.5 x 19.1 x 3.2 centimetres (1
- Genre:
- Computers, Computer Science, General,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Azure Machine Learning: Mastering End-to-End Machine Learning with Azure Mastering Azure Machine Learning is a comprehensive guide to accelerating and managing the machine learning project life cycle using Microsoft Azure Machine Learning. This book covers the entire ML process, from data preparation to model deployment, and provides hands-on training on how to set up an Azure Machine Learning workspace, train deep learning models, and deploy them as a batch pipeline or real-time scoring service. You'll learn how to implement end-to-end machine learning pipelines using Azure, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps. The book covers advanced topics such as NLP techniques, traditional ML models, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques. By the end of this book, you'll be able to combine all the steps you've learned by building an MLOps pipeline, allowing you to automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service.
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