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

Using computers that recognize what you mean


Have you ever tried to search for something and had trouble finding it? More specifically, have you ever tried to find the one article that you remember reading last year that talked about the impact of how the problems with bundled mortgage loans led to the 2008 global recession—you know, the one that talked about that guy who warned everyone about how bundled mortgages were much riskier than most people thought, but no one listened to him? Try doing a search for that to see how long will it take you to find it. It probably depends on a couple of things: whether you come up with the right set of keywords, how much time it takes to look at different documents, and broken links. What about completely irrelevant information that happened to coincide with the same set of keywords? And that's assuming you even know where to look in the first place – beyond searching the entire internet.

Human language is a tricky thing. Grammatical rules give structure...