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
Contributors
Preface
Index

Chapter 8. Putting It All Together with Watson

In this book, we have covered a lot of ground, explaining the fundamentals of Watson's AI services, what they do, how to program them, and how they work. In this chapter, we're going to show you how to bring those services together to build an application. We will construct a functioning application that demonstrates how several of these services can be leveraged to create something of interest, and that should serve as a basis for spurring further ideas and innovation from you as you think about your use of AI in areas that you care about.

In this chapter, we will discuss the following:

  • Recapping Watson services
  • Building a sample application from Watson services
  • Running the application

But, first, let's recap what we learned about those services.