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Practical Automated Machine Learning Using H2O.ai: Discover the power of automated machine learning, from experimentation through to deployment to production Cover

Practical Automated Machine Learning Using H2O.ai: Discover the power of automated machine learning, from experimentation through to deployment to production

Paid access
|Oct 2022
Table of contents

Table of Contents

  1. Understanding H2O AutoML Basics
  2. Working with H2O Flow (H2O's Web UI)
  3. Understanding Data Processing
  4. Understanding H2O AutoML Training and Architecture
  5. Understanding AutoML Algorithms
  6. Understanding H2O AutoML Leaderboard and Other Performance Metrics
  7. Working with Model Explainability
  8. Exploring Optional Parameters for H2O AutoML
  9. Exploring Miscellaneous Features in H2O AutoML
  10. Working with Plain Old Java Objects (POJOs)
  11. Working with Model Object, Optimized (MOJO)
  12. Working with H2O AutoML and Apache Spark
  13. Using H2O AutoML with Other Technologies

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PDF ISBN: 978-1-80107-635-7
Publisher: Packt Publishing Limited
Copyright owner: © 2022 Packt Publishing Limited
Publication date: 2022
Language: English
Pages: 396