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Machine Learning at Scale with H2O

You're reading from   Machine Learning at Scale with H2O A practical guide to building and deploying machine learning models on enterprise systems

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781800566019
Length 396 pages
Edition 1st Edition
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Authors (2):
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Gregory Keys Gregory Keys
Author Profile Icon Gregory Keys
Gregory Keys
David Whiting David Whiting
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David Whiting
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Table of Contents (22) Chapters Close

Preface 1. Section 1 – Introduction to the H2O Machine Learning Platform for Data at Scale
2. Chapter 1: Opportunities and Challenges FREE CHAPTER 3. Chapter 2: Platform Components and Key Concepts 4. Chapter 3: Fundamental Workflow – Data to Deployable Model 5. Section 2 – Building State-of-the-Art Models on Large Data Volumes Using H2O
6. Chapter 4: H2O Model Building at Scale – Capability Articulation 7. Chapter 5: Advanced Model Building – Part I 8. Chapter 6: Advanced Model Building – Part II 9. Chapter 7: Understanding ML Models 10. Chapter 8: Putting It All Together 11. Section 3 – Deploying Your Models to Production Environments
12. Chapter 9: Production Scoring and the H2O MOJO 13. Chapter 10: H2O Model Deployment Patterns 14. Section 4 – Enterprise Stakeholder Perspectives
15. Chapter 11: The Administrator and Operations Views 16. Chapter 12: The Enterprise Architect and Security Views 17. Section 5 – Broadening the View – Data to AI Applications with the H2O AI Cloud Platform
18. Chapter 13: Introducing H2O AI Cloud 19. Chapter 14: H2O at Scale in a Larger Platform Context 20. Other Books You May Enjoy Appendix : Alternative Methods to Launch H2O Clusters

The enterprise and security architect view

Enterprise and security architects have broad roles, but for our purposes here, we will focus on their concerns about how software architecture integrates into and impacts the existing enterprise software ecosystem and how it addresses security requirements.

A summary of this view is shown in the following diagram. Enterprises will likely have their own specific needs and concerns, but our discussion here will be a common starting point:

Figure 12.1 – Architecture and security views of H2O at Scale

Let's look at an overview before we dive into detailed views, as follows:

  • H2O enterprise architecture: Needs and concerns here relate to how software components are deployed, integrated into, and potentially impact the rest of the technology ecosystem. Architecture in our case is primarily at the component level—that is, at the level of the big separate pieces—and not lower down, such...
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