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Hands-On Artificial Intelligence on Amazon Web Services

Hands-On Artificial Intelligence on Amazon Web Services

By : Tripuraneni, Song
4.2 (6)
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Hands-On Artificial Intelligence on Amazon Web Services

Hands-On Artificial Intelligence on Amazon Web Services

4.2 (6)
By: Tripuraneni, Song

Overview of this book

From data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AWS. With this book, you’ll work through hands-on exercises and learn to use these services to solve real-world problems. You’ll even design, develop, monitor, and maintain machine and deep learning models on AWS. The book starts with an introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services. You’ll then get to grips with detecting and translating text with Amazon Rekognition and Amazon Translate. The book will assist you in performing speech-to-text with Amazon Transcribe and Amazon Polly. Later, you’ll discover the use of Amazon Comprehend for extracting information from text, and Amazon Lex for building voice chatbots. You will also understand the key capabilities of Amazon SageMaker such as wrangling big data, discovering topics in text collections, and classifying images. Finally, you’ll cover sales forecasting with deep learning and autoregression, before exploring the importance of a feedback loop in machine learning. By the end of this book, you will have the skills you need to implement AI in AWS through hands-on exercises that cover all aspects of the ML model life cycle.
Table of Contents (19 chapters)
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1
Section 1: Introduction and Anatomy of a Modern AI Application
4
Section 2: Building Applications with AWS AI Services
9
Section 3: Training Machine Learning Models with Amazon SageMaker
15
Section 4: Machine Learning Model Monitoring and Governance

Discussing the project enhancement ideas

At the end of each hands-on project in Part 2, we provide you with a few ideas to extend our intelligence-enabled application. The following are a couple of ideas for enhancing the Contact Organizer:

  • Use the Amazon Textract service to create another implementation of the Recognition Service. Textract provides an Optical Character Recognition (OCR) capability that's much better suited for documents with a large amount of text. Depending on the business card's appearance, environment lighting, and photo quality, Textract might provide better text detection performance.
  • The intelligent capabilities and the user interface we created for Contact Organizer can also be used for other use cases, such as data extraction from business documents, summarizing school notes, and categorizing customer requests. The raw text doesn't even...

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