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Cognitive Computing with IBM Watson

You're reading from   Cognitive Computing with IBM Watson Build smart applications using artificial intelligence as a service

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781788478298
Length 256 pages
Edition 1st Edition
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Authors (2):
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Tanmay Bakshi Tanmay Bakshi
Author Profile Icon Tanmay Bakshi
Tanmay Bakshi
Robert High Robert High
Author Profile Icon Robert High
Robert High
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Table of Contents (11) Chapters Close

Preface 1. Background, Transition, and the Future of Computing FREE CHAPTER 2. Can Machines Converse Like Humans? 3. Computer Vision 4. This Is How Computers Speak 5. Expecting Empathy from Dumb Computers 6. Language - How Watson Deals with NL 7. Structuring Unstructured Content Through Watson 8. Putting It All Together with Watson 9. Future - Cognitive Computing and You 10. Another Book You May Enjoy

Preface

Cognitive computing is rapidly infusing every aspect of our lives. It relates to the three important fields of data science, machine learning, and artificial intelligence (AI). It allows computing systems to learn and keep on improving with the growing data in the system. 

This book will introduce the readers to a whole new paradigm of computing that is totally different from the conventional computing of the Information Age. You will learn about the concepts of machine learning, deep learning, neural networks, and AI through the set of DLaaS APIs that IBM Watson provides. This book will show you how to build your own applications that will understand, plan, decide, solve problems, analyze, synthesize, and assess task as per your needs. You will be exposed to various domains of cognitive computing, such as natural language processing (NLP), media analytics, embedded deep learning, computer vision, emotion analytics, and situational awareness using different IBM Watson APIs, such as the conversation API and the Visual Recognition API. You'll also build sentiment analysis apps using the Tone Analyzer API, and explore the Personality Insights API, among others.

This way, readers will be elevated to a level where they can fully understand what machine learning is, and what goes on behind the scenes to make computers do their magic, as well as the areas where these concepts can be applied. Having achieved this, readers will then be able to embark upon their journey of learning, researching, or applying the concepts they have learned to their respective fields.

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