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Automated Machine Learning

You're reading from   Automated Machine Learning Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781800567689
Length 312 pages
Edition 1st Edition
Languages
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Author (1):
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Adnan Masood Adnan Masood
Author Profile Icon Adnan Masood
Adnan Masood
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction to Automated Machine Learning
2. Chapter 1: A Lap around Automated Machine Learning FREE CHAPTER 3. Chapter 2: Automated Machine Learning, Algorithms, and Techniques 4. Chapter 3: Automated Machine Learning with Open Source Tools and Libraries 5. Section 2: AutoML with Cloud Platforms
6. Chapter 4: Getting Started with Azure Machine Learning 7. Chapter 5: Automated Machine Learning with Microsoft Azure 8. Chapter 6: Machine Learning with AWS 9. Chapter 7: Doing Automated Machine Learning with Amazon SageMaker Autopilot 10. Chapter 8: Machine Learning with Google Cloud Platform 11. Chapter 9: Automated Machine Learning with GCP 12. Section 3: Applied Automated Machine Learning
13. Chapter 10: AutoML in the Enterprise 14. Other Books You May Enjoy

ML in the AWS landscape

Gartner is among a few major advisory companies that regularly review the landscape of technology and provide a comprehensive overview of their findings in their Magic Quadrant reports. In its latest release, the Magic Quadrant contains Anaconda and Altair as niche players, Microsoft, DataRobot, KNIME, Google, H2O.ai, RapidMiner, and Domino as visionaries, IBM as a challenger, and Alteryx, SAS, Databricks, MathWorks, TIBCO, and Dataiku as leaders in the data science and ML space.

It is surprising for us to not see AWS mentioned here. There are six companies in the leadership quadrant due to their consistent record of data science and AI solution deliveries, and seven are classified as visionaries. However, AWS not making it to the visionaries and/or the leaders quadrant is attributed to the announcement delay. The AWS flagship AI products SageMaker Studio and SageMaker Autopilot were announced after the deadline for Gartner submission; hence they didn&apos...

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