The Applied AI and Natural Language Processing Workshop
- Paperback: 384 pages
- Publisher: WOW! eBook (July 27, 2020)
- Language: English
- ISBN-10: 180020874X
- ISBN-13: 978-1800208742
The Applied AI and Natural Language Processing Workshop: 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
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.
- 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
By the end of The Applied AI and Natural Language Processing Workshop, you’ll be equipped with the knowledge and skills needed to build scalable intelligent applications with AWS.