Book Image

Cognitive Computing with IBM Watson

By : Rob High, Tanmay Bakshi
Book Image

Cognitive Computing with IBM Watson

By: Rob High, Tanmay Bakshi

Overview of this book

Cognitive computing is rapidly becoming a part of every aspect of our lives through data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system increases. This book introduces you to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI with the help of IBM Watson APIs. This book will help you build your own applications to understand, and solve problems, and analyze them as per your needs. You will explore various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems. Equipped with the knowledge of machine learning concepts, how computers do their magic, and the applications of these concepts, you’ll be able to research and apply cognitive computing in your projects.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
About Packt


In this chapter, you learned about the Watson Assistant service. A good conversational agent is more than a single-turn, transactional response system. A conversation is about getting to the heart of the user's problem—keeping in mind that the first question someone asks is often not the question they really want to ask. Sometimes they don't even know what question to ask to solve their problem—they need to be walked through it. We've taught you the fundamentals of how to create a workspace in which you can train Watson to recognize the intents that your users might express, and to extract the entities within that expression. We also looked at how to build a dialog flow, in which you can guide the user through their conversation. We showed you how to jump around within that flow to address different ways that a user might proceed with their side of the conversation. Finally, we explained how to write a program in Python to make use of the service and from which you can drive the...