Hands-On Artificial Intelligence on Amazon Web Services

Book Description

Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly

Key Features

  • Explore popular machine learning and deep learning services with their underlying algorithms
  • Discover readily available (AI) APIs on AWS like Vision and Language Services
  • robust architectures to enable experimentation, extensibility, and maintainability of AI apps

Book Description

From data wrangling through to translating text, you can accomplish this and more with the artificial 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 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 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.

What you will learn

  • Gain useful insights into different machine and deep learning models
  • Build and deploy robust deep learning to production
  • Train machine and deep learning models with diverse infrastructure specifications
  • Scale AI apps without dealing with the complexity of managing the underlying infrastructure
  • Monitor and Manage AI experiments efficiently
  • Create AI apps using AWS pre-trained AI services

Who this book is for

This book is for data scientists, machine learning developers, deep learning researchers, and artificial intelligence enthusiasts who want to harness the power of AWS to implement powerful artificial intelligence solutions. A basic understanding of machine learning concepts is expected.

Table of Contents

  1. Introduction to Artificial Intelligence on AWS
  2. Anatomy of an Modern AI Application
  3. Detecting and Translating Text with AWS Rekognition and AWS Translate
  4. Performing speech-to-text and Vice-versa with AWS Transcribe and AWS Polly
  5. Extracting Information from Text with AWS Comprehend
  6. Building a Voice Chatbot with AWS Lex
  7. Working with Amazon SageMaker
  8. Creating Machine Learning Inference Pipelines with Amazon SageMaker
  9. Discovering Topics in Text Collections using Amazon SageMaker
  10. Classifying Images using Amazon SageMaker
  11. Sales Forecasting with Deep Learning and Auto Regression
  12. Model Accuracy Degradation and Feedback Loop
  13. What's Next

Book Details

  • Title: Hands-On Artificial Intelligence on Amazon Web Services
  • Author: ,
  • Length: 426 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-10-04
  • ISBN-10: 1789534143
  • ISBN-13: 9781789534146