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

Recapping Watson Services

Watson Services are all available through APIs that you can call from your application. Each of them has been designed to solve specific aspects of recognizing the human experience – whether that's the way we converse, what we see and hear, what we feel, or how we communicate. Watson Services are implemented to perform well out of the box for many general use cases, but all of them can be customized through training techniques to improve their performance in specific situations.

Watson Assistant is useful for creating a conversational flow between users and the computer. This service can be used to create virtual assistants – something that converses with the user to get to the heart of the problem that the user wants to solve. It can classify the user's utterance, extract any entities in that expression, and use that to decide how to respond to the user – perhaps asking further questions to clarify their needs. Remember that a really good conversational system does...