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

Summary

In this chapter, you learned how to apply AutoML in Azure to a classification problem and a time series prediction problem. You were able to build a model within the Azure Machine Learning environment with an Azure notebook and via JupyterLab. You then understood how the entire workspace relates to the experiments and runs. You also see the visualization during these automated runs; this is where feature importance, the global and local impact of features, and explanations based on raw and engineered features provide an intuitive understanding. Besides your affinity with a tool, it is also important that the platform aligns with your enterprise roadmap. Azure is an overall great platform with a comprehensive set of tools, and we hope you enjoyed exploring its automated ML capabilities.

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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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