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


You've learned how to use Watson to simulate a small portion of the human ability of empathy within your applications. You are now able to extract the sentiment of standalone text, and even utterances in conversations! You can also determine personality traits just by analyzing the way someone writes. This means you can now make more informed decisions in all sorts of fields, including recruitment, healthcare, education, security, and more. With this, humans can understand the data that other humans generate at scale, which humans were otherwise incapable of handling, and at the same time, achieve this without letting human bias set us back.

Now that you've got an idea as to how Watson can be implemented to understand natural language, it’s time to get to the even more complex APIs: this time, using your own data to train Watson. In the next chapter, you're going to learn how to annotate your own documents to allow natural language analysis to find custom entities in documents that...