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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

What is AI?

AI is an umbrella term that describes a branch of computer science that aims to create intelligent agents. The field of AI is highly technical and specialized; there is a broad set of theories, methods, and technologies in AI that allow computers to see (computer vision), to hear (speech recognition), to understand (natural language processing), to speak (text-to-speech), and to think (knowledge reasoning and planning).

It may seem that AI is a buzzword of our current times, but it has existed since the 1950s, when early work on artificial neural networks that mimic led the human brain stirred up excitement for thinking machines. With all the fanfare it receives in the media today, it is hard to believe that this field had to endure two AI winters, where interest in AI research and development dwindled. Today, AI has become popular again, thanks to the increased volume...

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