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

Chapter 2. Can Machines Converse Like Humans?

We are exposed to a wide range of chatbots in our everyday activities—Siri, Alexa, and Google Home are just a few examples. I can speak out loud to various devices with utterances, such as, Siri, what is the weather in Seattle? or Alexa, Turn on the lights, or Google, What is the tallest mountain in the world? And these devices just respond with answers or actions.

What they do is fairly remarkable in that there are many ways of inquiring about the weather. For example, I might say, What is the weather in Washington?, Tell me the temperature in Seattle, or even the more ambiguous, What is it like up North? All of these have essentially the same intent and are generally referring to the same location. For the most part, all of these devices are doing the same thing: using machine learning algorithms to classify your intention, and to determine the entity (location, in this case) you are inquiring about. They then need to map that onto some predefined...