Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.
The first ebook in the series, Microsoft Azure Essentials: Fundamentals of Azure, introduces developers and IT professionals to the wide range of capabilities in Azure.
If Azure Web Apps is new to you, this book is for you. If you have experience developing for Azure Web Apps, this book is for you, too, because there are features and tools discussed in this text that are new to the platform.
Part of the “Microsoft Azure Essentials” series, this ebook helps SQL Server database users understand Microsoft’s offering for SQL Server in Azure.
The purpose of this book is to provide a gentle and instructionally organized introduction to the field of data science and machine learning, with a focus on building and deploying predictive models.
The second ebook in the series, Microsoft Azure Essentials: Azure Automation, introduces a fairly new feature of Microsoft Azure called Azure Automation.
This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient.
This book will help you improve your knowledge of building ML models using Azure and end-to-end ML pipelines on the cloud.
This book covers the Azure essentials you need to know, including building a virtual network on Azure, launching and scaling applications, migrating existing services, and keeping everything secure.
... ~hadoop/.ssh/authorized_keys chmod 0600 ~hadoop/.ssh/authorized_keys chown hadoop:hadoop ~hadoop/.ssh/id_rsa chown ... 2. The Jupyter command window will appear, as shown in the following screenshot: 3. The Jupyter Notebook will ...
In this book, Microsoft engineer and Azure trainer Iain Foulds focuses on core skills for creating cloud-based applications.