You're reading from Automated Machine Learning

Product typeBook

Published inFeb 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800567689

Edition1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Author (1)

Adnan Masood

Getting started with Azure Machine Learning

Not so long ago, if you wanted to use ML in a production environment on the Azure platform, you needed to bring together a bunch of different services to support the full ML life cycle.

For example, to use the datasets, you would need storage repositories such as Azure Blob storage or Azure Data Lake storage. For compute, you would either need individual virtual machines, Spark clusters using HDInsight, or Azure Databricks to actually run your model code. To protect your data for enterprise readiness, you'd need to bring in your virtual networks or configure your compute and data inside the same virtual network, along with Azure Key Vault to manage and secure your credentials. In order to provide repeatability for your experiments by using a consistent set of ML libraries, and the different versions thereof, you'd create Docker containers and use Azure Container Registry to store those Docker containers. You would need to put...

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Automated Machine Learning

Published in: Feb 2021Publisher: PacktISBN-13: 9781800567689

Author (1)

Adnan Masood

Adnan Masood, PhD is an artificial intelligence and machine learning researcher, visiting scholar at Stanford AI Lab, software engineer, Microsoft MVP (Most Valuable Professional), and Microsoft's regional director for artificial intelligence. As chief architect of AI and machine learning at UST Global, he collaborates with Stanford AI Lab and MIT CSAIL, and leads a team of data scientists and engineers building artificial intelligence solutions to produce business value and insights that affect a range of businesses, products, and initiatives.
Read more about Adnan Masood

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