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

Can machines visually perceive the world around them?

Although primitive at the time, the sense of sight evolved in animals around 700,000,000 years ago. As humans, it's our primary sense, and around half of all of our mental processing power at any given time goes to visual perception—you may have realized this about your dreams, too!

While it may seem very simple, our sense of sight is actually a lot more complex than we thought! As humans, we gain a great understanding of the world around us through our sense of sight.

What's really interesting, however, is how we humans can recognize the objects around us. For example, if you were to look at a car, how does your brain know that you're looking at a car, and therefore create a conscious perception of a car?

It seems like a simple question, but the amount of learning and logic that goes into recognizing objects is truly remarkable. Even more noteworthy is that we can recognize objects with very little data, as well! Say you were shown a lawnmower...