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Hands-On Artificial Intelligence on Amazon Web Services

You're reading from   Hands-On Artificial Intelligence on Amazon Web Services Decrease the time to market for AI and ML applications with the power of AWS

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Product type Paperback
Published in Oct 2019
Publisher Packt
ISBN-13 9781789534146
Length 426 pages
Edition 1st Edition
Tools
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Authors (2):
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Subhashini Tripuraneni Subhashini Tripuraneni
Author Profile Icon Subhashini Tripuraneni
Subhashini Tripuraneni
Charles Song Charles Song
Author Profile Icon Charles Song
Charles Song
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Introduction and Anatomy of a Modern AI Application FREE CHAPTER
2. Introduction to Artificial Intelligence on Amazon Web Services 3. Anatomy of a Modern AI Application 4. Section 2: Building Applications with AWS AI Services
5. Detecting and Translating Text with Amazon Rekognition and Translate 6. Performing Speech-to-Text and Vice Versa with Amazon Transcribe and Polly 7. Extracting Information from Text with Amazon Comprehend 8. Building a Voice Chatbot with Amazon Lex 9. Section 3: Training Machine Learning Models with Amazon SageMaker
10. Working with Amazon SageMaker 11. Creating Machine Learning Inference Pipelines 12. Discovering Topics in Text Collection 13. Classifying Images Using Amazon SageMaker 14. Sales Forecasting with Deep Learning and Auto Regression 15. Section 4: Machine Learning Model Monitoring and Governance
16. Model Accuracy Degradation and Feedback Loops 17. What Is Next? 18. Other Books You May Enjoy

Understanding the Amazon Lex development paradigm

Amazon Lex is a development platform for building intelligent assistants or chatbots. With Amazon Lex, we are building our own custom intelligent assistant capabilities. Lex itself provides many AI capabilities, including Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU), that are useful for building conversational interfaces. However, developers must follow Lex's development constructs, conventions, and norms to leverage these underlying AI capabilities.

These Amazon Lex conversational interfaces are built from Lex's specific building blocks:

  • Bot: A Lex bot can perform a set of related tasks through the custom conversational interfaces. A bot organizes the related tasks into a unit for development, deployment, and execution.
    • For example, to make the tasks available to the applications, they...
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