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The Machine Learning Solutions Architect Handbook

You're reading from   The Machine Learning Solutions Architect Handbook Create machine learning platforms to run solutions in an enterprise setting

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801072168
Length 442 pages
Edition 1st Edition
Languages
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Author (1):
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David Ping David Ping
Author Profile Icon David Ping
David Ping
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Solving Business Challenges with Machine Learning Solution Architecture
2. Chapter 1: Machine Learning and Machine Learning Solutions Architecture FREE CHAPTER 3. Chapter 2: Business Use Cases for Machine Learning 4. Section 2: The Science, Tools, and Infrastructure Platform for Machine Learning
5. Chapter 3: Machine Learning Algorithms 6. Chapter 4: Data Management for Machine Learning 7. Chapter 5: Open Source Machine Learning Libraries 8. Chapter 6: Kubernetes Container Orchestration Infrastructure Management 9. Section 3: Technical Architecture Design and Regulatory Considerations for Enterprise ML Platforms
10. Chapter 7: Open Source Machine Learning Platforms 11. Chapter 8: Building a Data Science Environment Using AWS ML Services 12. Chapter 9: Building an Enterprise ML Architecture with AWS ML Services 13. Chapter 10: Advanced ML Engineering 14. Chapter 11: ML Governance, Bias, Explainability, and Privacy 15. Chapter 12: Building ML Solutions with AWS AI Services 16. Other Books You May Enjoy

Overview of AWS AI services

AWS provides AI services in multiple machine learning domains such as text and vision, as well as AI services for industrial use cases such as manufacturing anomaly detection and predictive maintenance. In this section, we will cover a subset of AWS AI services. The objective of this section will not be to deep dive into individual services, but rather make you aware of the fundamental capabilities offered by these AI services. This will let you know where and how these services can be integrated into your applications.

Amazon Comprehend

NLP has gained significant interest across different industries in solving a range of business problems, such as automatic document processing, text summarization, document understanding, and document management and retrieval. Amazon Comprehend is an AI service that can perform NLP analysis on unstructured text documents. At its core, Amazon Comprehend provides the following main capabilities:

  • Entity recognition...
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