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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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Summary

Azure Machine Learning Studio is a fully managed platform for developing machine learning models, enabling the user to concentrate on the essential tasks and problems in machine learning development. The graphical user interface is easy to learn and its usage requires no programming skills. Even users who have no prior experience in programming or machine learning can learn to use it, and the Experiment template collection contains many real-world examples of ML models to start with. ML Studio is a great way to start learning to develop ML models, and the sample datasets in ML Studio make it possible to develop your own models, even if you don't have your own data to start with.

Machine Learning Studio contains modules for all the most common ML-related tasks, such as data preprocessing, tuning hyperparameters, and evaluating the performance of ML algorithms. If the...

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