Book
Azure Machine Learning Engineering
Data scientists working with Azure will be able to put their knowledge to work with this practical guide to Azure Machine Learning focused on leveraging the SDK V2 and CLI V2. With detailed steps and explanations, you’ll learn how to build and productionize end-to-end machine learning solutions using Azure ML.
Offered by
Difficulty Level
Intermediate
Completion Time
12h4m
Language
English
About Book
Who Is This Book For?
Machine learning engineers and data scientists who want to move to ML engineering roles will find this AMLS book useful. Familiarity with the Azure ecosystem will assist with understanding the concepts covered.
Azure Machine Learning Engineering
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h4m total length
Introducing Azure Machine Learning
Working with Data in AMLS
Training Machine Learning Models in AMLS
Tuning Your Models with AMLS
Azure Automated Machine Learning
Deploying ML Models for Real-Time Inferencing
Deploying ML Models for Batch Scoring
Responsible AI
Productionizing Your Workload with MLOps
Using Deep Learning in Azure Machine Learning
Using Distributed Training in AMLS
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