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

Summary


You did it! You created a custom Natural Language Classifier model using world-class machine learning techniques, which you trained using no code, and tested using just five lines of code.

You not only learned how to use Watson's Language Translator, but also about the technology and algorithms behind it. You also experienced Watson's NLC service with a real, practical example, training it just at the limit of what it's capable of; we fed it roughly 14,000 tweets, and it takes a maximum of 15,000.

In the next chapter, you're going to learn how to use Watson to structure and understand the unstructured, natural-language data your users provide!