Subscription

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Learning Hub

Conferences

Free Learning

Hands-On Artificial Intelligence on Amazon Web Services: Decrease the time to market for AI and ML applications with the power of AWS

Tripuraneni

Song

€20.98 ~~€29.99~~

4.2 (6 Ratings)

eBook Oct 2019 426 pages 1st Edition

Tripuraneni

Song

€20.98 ~~€29.99~~

4.2 (6 Ratings)

eBook Oct 2019 426 pages 1st Edition

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

View table of contents

Preview Book

Download Code

Key benefits

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

Description

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.

Who is this book 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.

What you will learn

Gain useful insights into different machine and deep learning models
Build and deploy robust deep learning systems 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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Product Details

Publication date : Oct 04, 2019

Length: 426 pages

Edition : 1st

Language : English

ISBN-13 : 9781789531473

Category :

Data

Concepts :

Artificial Intelligence

Tools :

AWS

Frequently bought together

Python Machine Learning

Dec 2019 772 pages

4.5 (41)

eBook

€22.99 ~~€32.99~~

Hands-On Artificial Intelligence on Amazon Web Services

Oct 2019 426 pages

4.2 (6)

eBook

€20.98 ~~€29.99~~

Mastering Machine Learning on AWS

May 2019 306 pages

4.3 (8)

eBook

€15.99 ~~€23.99~~

Total € 108.97

€41.99

€36.99

€29.99

Total € 108.97

18 Chapters

Section 1: Introduction and Anatomy of a Modern AI Application

Introduction to Artificial Intelligence on Amazon Web Services

Technical requirements

What is AI?

Overview of AWS AI offerings

Getting familiar with the AWS CLI

Using Python for AI applications

First project with the AWS SDK

Summary

References

Anatomy of a Modern AI Application

Technical requirements

Understanding the success factors of artificial intelligence applications

Understanding the architecture design principles for AI applications

Understanding the architecture of modern AI applications

Creation of custom AI capabilities

Working with a hands-on AI application architecture

Developing an AI application locally using AWS Chalice

Developing a demo application web user interface

Summary

Further reading

Section 2: Building Applications with AWS AI Services

Detecting and Translating Text with Amazon Rekognition and Translate

Making the world smaller

Understanding the architecture of Pictorial Translator

Setting up the project structure

Implementing services

Implementing RESTful endpoints

Implementing the web user interface

Deploying Pictorial Translator to AWS

Discussing project enhancement ideas

Summary

Further reading

Performing Speech-to-Text and Vice Versa with Amazon Transcribe and Polly

Technical requirements

Technologies from science fiction

Understanding the architecture of Universal Translator

Setting up the project structure

Implementing services

Implementing RESTful endpoints

Implementing the Web User Interface

Deploying the Universal Translator to AWS

Discussing the project enhancement ideas

Summary

References

Extracting Information from Text with Amazon Comprehend

Technical requirements

Working with your Artificial Intelligence coworker

Understanding the Contact Organizer architecture

Setting up the project structure

Implementing services

Implementing RESTful endpoints

Implementing the web user interface

Deploying the Contact Organizer to AWS

Discussing the project enhancement ideas

Summary

Further reading

Building a Voice Chatbot with Amazon Lex

Understanding the friendly human-computer interface

Contact assistant architecture

Understanding the Amazon Lex development paradigm

Setting up the contact assistant bot

Integrating the contact assistant into applications

Summary

Further reading

Section 3: Training Machine Learning Models with Amazon SageMaker

Working with Amazon SageMaker

Technical requirements

Preprocessing big data through Spark EMR

Conducting training in Amazon SageMaker

Deploying the trained Object2Vec and running inference

Running hyperparameter optimization (HPO)

Understanding the SageMaker experimentation service

Bring your own model – SageMaker, MXNet, and Gluon

Bring your own container – R model

Summary

Further reading

Creating Machine Learning Inference Pipelines

Technical requirements

Understanding the architecture of the inference pipeline in SageMaker

Creating features using Amazon Glue and SparkML

Identifying topics by training NTM in SageMaker

Running online versus batch inferences in SageMaker

Summary

Further reading

Discovering Topics in Text Collection

Technical requirements

Reviewing topic modeling techniques

Understanding how the Neural Topic Model works

Training NTM in SageMaker

Deploying the trained NTM model and running the inference

Summary

Further reading

Classifying Images Using Amazon SageMaker

Technical requirements

Walking through convolutional neural and residual networks

Classifying images through transfer learning in Amazon SageMaker

Performing inference through Batch Transform

Summary

Further reading

Sales Forecasting with Deep Learning and Auto Regression

Technical requirements

Understanding traditional time series forecasting

How the DeepAR model works

Understanding model sales through DeepAR

Predicting and evaluating sales

Summary

Further reading

Section 4: Machine Learning Model Monitoring and Governance

Model Accuracy Degradation and Feedback Loops

Technical requirements

Monitoring models for degraded performance

Developing a use case for evolving training data – ad-click conversion

Creating a machine learning feedback loop

Summary

Further reading

What Is Next?

Summarizing the concepts we learned in Part I

Summarizing the concepts we learned in Part II

Summarizing the concepts we learned in Part III

Summarizing the concepts we learned in Part IV

What's next?

Summary

Other Books You May Enjoy

Leave a review - let other readers know what you think

Recommendations for you

Python Machine Learning By Example

Jul 2024 518 pages

4.9 (8)

eBook

€18.99 ~~€27.99~~

Building AI Applications with OpenAI APIs

Oct 2024 252 pages

eBook

€15.99 ~~€23.99~~

Unlocking Data with Generative AI and RAG

Sep 2024 346 pages

eBook

€15.99 ~~€23.99~~

Building LLM Powered Applications

May 2024 342 pages

4.2 (22)

eBook

€20.98 ~~€29.99~~

RAG-Driven Generative AI

Sep 2024 334 pages

4.5 (13)

eBook

€22.99 ~~€32.99~~

Machine Learning with PyTorch and Scikit-Learn

Feb 2022 774 pages

4.4 (95)

eBook

€22.99 ~~€32.99~~

Python for Algorithmic Trading Cookbook

Aug 2024 404 pages

4.6 (15)

eBook

€24.99 ~~€35.99~~

Microsoft Power BI - The Complete Masterclass [2023 EDITION]

Jan 2023 14hrs 31mins

Video

€82.99

Principles of Data Science

Jan 2024 326 pages

4.8 (4)

eBook

€15.99 ~~€23.99~~

Mastering NLP from Foundations to LLMs

Apr 2024 340 pages

4.9 (24)

eBook

€21.99 ~~€31.99~~

People who bought this also bought

Machine Learning Engineering with Python

Aug 2023 462 pages

4.6 (36)

eBook

€20.98 ~~€29.99~~

Deep Learning with TensorFlow and Keras – 3rd edition

Oct 2022 698 pages

4.6 (45)

eBook

€20.98 ~~€29.99~~

Modern Generative AI with ChatGPT and OpenAI Models

May 2023 286 pages

4.2 (34)

eBook

€20.98 ~~€29.99~~

Generative AI with LangChain

Dec 2023 368 pages

4 (34)

eBook

€20.98 ~~€29.99~~

Causal Inference and Discovery in Python

May 2023 456 pages

4.5 (49)

eBook

€15.99 ~~€23.99~~

About the authors

Tripuraneni

Subhashini Tripuraneni has several years of experience leading AI initiatives in financial services and convenience retail. She has automated multiple business processes and helped to create a proactive competitive advantage for businesses via AI. She is also a seasoned data scientist, with hands-on experience building machine learning and deep learning models in a public cloud. She holds an MBA from Wharton Business School, with a specialization in business analytics, marketing and operations, and entrepreneurial management. In her spare time, she enjoys going to theme parks and spending time with her children. She currently lives in Dallas, TX, with her husband and children.

See other products by Tripuraneni

Song

Charles Song is a solutions architect with a background in applied software engineering research. He is skilled in software development, architecture design, and machine learning, with a proven ability to utilize emerging technologies to devise innovative solutions. He has applied machine learning to many research and industry projects, and published peer-reviewed papers on the subject. He holds a PhD in computer science from the University of Maryland. He has taught several software engineering courses at the University of Maryland for close to a decade. In his spare time, he likes to relax in front of his planted aquariums, but also enjoys martial arts, cycling, and snowboarding. He currently resides in Bethesda, MD, with his wife.

See other products by Song

FAQs

How do I buy and download an eBook?

Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.

If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.

Please Note: Packt eBooks are non-returnable and non-refundable.

Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:

You may make copies of your eBook for your own use onto any machine
You may not pass copies of the eBook on to anyone else

How can I make a purchase on your website?

If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:

Register on our website using your email address and the password.
Search for the title by name or ISBN using the search option.
Select the title you want to purchase.
Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title.
Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)

Where can I access support around an eBook?

If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
To view your account details or to download a new copy of the book go to www.packtpub.com/account
To contact us directly if a problem is not resolved, use www.packtpub.com/contact-us

What eBook formats do Packt support?

Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.

You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.

What are the benefits of eBooks?

You can get the information you need immediately
You can easily take them with you on a laptop
You can download them an unlimited number of times
You can print them out
They are copy-paste enabled
They are searchable
There is no password protection
They are lower price than print
They save resources and space

What is an eBook?

Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.

When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.

For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.

Hands-On Artificial Intelligence on Amazon Web Services: Decrease the time to market for AI and ML applications with the power of AWS

What do you get with eBook?