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Hands-On Machine Learning with Azure

Hands-On Machine Learning with Azure

By : Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak, Murphy
2.7 (3)
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Hands-On Machine Learning with Azure

Hands-On Machine Learning with Azure

2.7 (3)
By: Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak, Murphy

Overview of this book

Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way. The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft’s Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you’ll integrate patterns with other non-AI services in Azure. By the end of this book, you will be fully equipped to implement smart cognitive actions in your models.
Table of Contents (14 chapters)
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Azure Machine Learning Studio

Azure Machine Learning Studio is an ML-as-a-Service platform for creating custom machine learning (ML) models. Azure ML Studio is a great tool for beginners who perhaps have some experience of consuming machine learning models and who would like to gain a deeper understanding of the training process. It offers more flexibility than the Cognitive Services APIs and an easy-to-learn development environment. The GUI does not require any programming and allows the user to concentrate on building ML models as efficiently as possible. Azure ML Studio is also a useful tool for more experienced AI developers who have a fairly simple problem at hand and need to get results quickly.

Azure ML Studio consists of two separate services: a Studio Workspace and Studio Web Services. Both of these services also include the backend computational resources needed for...

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