Who this book is for
If you are interested in Azure Machine Learning and security, you will learn the basic components of Azure Machine Learning, the most common ML attacks, and how to work with Azure to develop and implement a strategy to secure Azure Machine Learning and any associated services. This book is written for the following:
Machine learning developers, administrators, and data scientists: Anyone who has an active role in an Azure Machine Learning project, or is planning to, and is looking to gain expertise in securing their machine learning assets.
IT administrators and DevOps or security engineers, who are required to secure and monitor Azure Machine Learning workloads on Azure. They will benefit from learning the basics of Azure Machine Learning along with the best practices outlined in this book, as the book includes all the information needed to develop a security strategy across multiple resources.
Basic Azure knowledge and experience in processing data, building, and deploying Azure Machine Learning models is advised.
