The Applied AI and Natural Language Processing Workshop: Explore practical ways to transform your simple projects into powerful intelligent applications

With the help of engaging activities, learn how to leverage Amazon Web Services for building serverless intelligent applications that can process information in no time

Key Features

• Learn how to integrate Amazon's Simple Storage Services with AI and NLP projects
• Get to grips with serverless computing and its applications
• Create intelligent applications such as chatbots and image recognition models

Book Description

Are you fascinated with applications like Alexa and Siri and how they accurately process information within seconds before returning accurate results? Are you looking for a practical guide that will teach you how to build intelligent applications that can revolutionize the world of artificial intelligence? The Applied AI and NLP Workshop will take you on a practical journey where you will learn how to build artificial intelligence (AI) and natural language processing (NLP) applications with Amazon Web services (AWS).

Starting with an introduction to AI and machine learning, this book will explain how Amazon S3, or Amazon Simple Storage Service, works. You'll then integrate AI with AWS to build serverless services and use Amazon's NLP service Comprehend to perform text analysis on a document. As you advance, the book will help you get to grips with topic modeling to extract and analyze common themes on a set of documents with unknown topics. You'll also work with Amazon Lex to create and customize a chatbot for task automation and use Amazon Rekognition for detecting objects, scenes, and text in images.

By the end of The Applied AI and NLP Workshop, you'll be equipped with the knowledge and skills needed to build scalable intelligent applications with AWS.

What you will learn

• Grasp the fundamentals of AI, ML, and AWS
• Explore the AWS command line, its interface, and its applications
• Import and export data to Amazon S3
• Perform topic modeling on a set of documents to analyze common themes
• Develop a custom chatbot to get the latest stock market quotes
• Create a personal call center and connect it to the chatbot

Who this book is for

If you are a machine learning enthusiast, data scientist, or programmer who wants to explore AWS's artificial intelligence and machine learning capabilities, this book is for you. Although not necessary, a basic understanding of AI and NLP will assist with grasping key topics quickly.

Table of Contents

1. An Introduction to AWS
2. Analyzing Documents and Text with Natural Language Processing
3. Topic Modeling and Theme Extraction
4. Conversational Artificial Intelligence
5. Using Speech with the Chatbot
6. Computer Vision and Image Processing

Krishna Sankar is an AI data scientist with Volvo Cars focusing on autonomous vehicles. Previously, he was the chief data scientist at blackarrow, where he was focusing on optimizing user experience via inference, intelligence, and interfaces. He was the director of a data science/bioinformatics startup and also worked as a distinguished engineer at Cisco. He has been speaking at various conferences as well as guest lecturing at the Naval Postgraduate School. His other passion is Lego Robotics. You'll find him at the St.Louis FLL World Competition as the robot design judge.

Jeffrey Jackovich is a curious data scientist with a background in health-tech and mergers and acquisitions. He has extensive business-oriented healthcare knowledge but enjoys analyzing all types of data with R and Python. He loves the challenges involved in the data science process, and his ingenious demeanor was tempered while serving as a Peace Corps volunteer in Morocco. He is completing a master's of science in computer information systems from Boston University, with a data analytics concentration.

Ruze Richards is a data scientist and cloud architect who has spent most of his career building high-performance analytics systems for enterprises and startups. He is passionate about AI and machine learning. He began his career as a physicist, felt excited about neural networks, and started working at AT&T Bell Labs to further pursue this area of interest. He is thrilled to spread the knowledge and help people achieve their goals.