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

Product type Paperback

Published in Feb 2021

Publisher Packt

ISBN-13 9781800567689

Length 312 pages

Edition 1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Author (1):

Adnan Masood

View More author details

Table of Contents (15) Chapters

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...