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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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Toc

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

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  • Perform ETL, data preparation, and feature extraction using Azure best practices
  • Implement advanced feature extraction using NLP and word embeddings
  • Train gradient boosted tree-ensembles, recommendation engines and deep neural networks on Azure Machine Learning
  • Use hyperparameter tuning and Azure Automated Machine Learning to optimize your ML models
  • Employ distributed ML on GPU clusters using Horovod in Azure Machine Learning
  • Deploy, operate and manage your ML models at scale
  • Automated your end-to-end ML process as CI/CD pipelines for MLOps

Learn Amazon SageMaker

Julien Simon

ISBN: 978-1-80020-891-9

  • Create and automate end-to...
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