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You're reading from  Mastering Azure Machine Learning

Product typeBook
Published inApr 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781789807554
Edition1st Edition
Languages
C#
Tools
Azure
Concepts
Machine Learning
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Authors (2):
Christoph Körner
Christoph Körner
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Christoph Körner

Christoph Körner previously worked as a cloud solution architect for Microsoft, specializing in Azure-based big data and machine learning solutions, where he was responsible for designing end-to-end machine learning and data science platforms. He currently works for a large cloud provider on highly scalable distributed in-memory database services. Christoph has authored four books: Deep Learning in the Browser for Bleeding Edge Press, as well as Mastering Azure Machine Learning (first edition), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS for Packt Publishing.
Read more about Christoph Körner

Kaijisse Waaijer
Kaijisse Waaijer
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Kaijisse Waaijer

Kaijisse Waaijer is an experienced technologist specializing in data platforms, machine learning, and the Internet of Things. Kaijisse currently works for Microsoft EMEA as a data platform consultant specializing in data science, machine learning, and big data. She works constantly with customers across multiple industries as their trusted tech advisor, helping them optimize their organizational data to create better outcomes and business insights that drive value using Microsoft technologies. Her true passion lies within the trading systems automation and applying deep learning and neural networks to achieve advanced levels of prediction and automation.
Read more about Kaijisse Waaijer

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Azure Machine Learning with GUIs

Azure provides a few great tools with GUIs that can be used to directly train and deploy a data pipeline and ML model or reuse this functionality from a different service.

We will look into three different services: Azure Machine Learning designer, Azure Automated Machine Learning, and Power BI. From these three services, only Azure Machine Learning designer is a traditional GUI-based service with which you can customize data pipelines, transformations, feature extraction, and ML model validations in an interactive block-based environment.

The other two services are both based on the power of the Automated Machine Learning engine, which we can access either through the Automated Machine Learning GUI, through an SDK, or through Power Query transformations in Power BI. Automated Machine Learning provides fantastic capabilities to create powerful ML models using zero code. Let's take a look at the individual services, how they are used, and...

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Mastering Azure Machine Learning
Published in: Apr 2020Publisher: PacktISBN-13: 9781789807554
© 2020 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Christoph Körner

Christoph Körner previously worked as a cloud solution architect for Microsoft, specializing in Azure-based big data and machine learning solutions, where he was responsible for designing end-to-end machine learning and data science platforms. He currently works for a large cloud provider on highly scalable distributed in-memory database services. Christoph has authored four books: Deep Learning in the Browser for Bleeding Edge Press, as well as Mastering Azure Machine Learning (first edition), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS for Packt Publishing.
Read more about Christoph Körner

author image
Kaijisse Waaijer

Kaijisse Waaijer is an experienced technologist specializing in data platforms, machine learning, and the Internet of Things. Kaijisse currently works for Microsoft EMEA as a data platform consultant specializing in data science, machine learning, and big data. She works constantly with customers across multiple industries as their trusted tech advisor, helping them optimize their organizational data to create better outcomes and business insights that drive value using Microsoft technologies. Her true passion lies within the trading systems automation and applying deep learning and neural networks to achieve advanced levels of prediction and automation.
Read more about Kaijisse Waaijer

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