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

Natural language translation – the present

Now, let's get back to LT. Remember, our goal is to create a human-like representation of natural language within computers. How do we do it? Well, let's take a bit of inspiration from the past.

John Rupert Firth was a very famous linguist, and this was one of his most popular quotes:

"You may understand a word by the company it keeps."                                                                                              -John Rupert Firth, 1951

This principle was the inspiration behind enabling Neural Networks to understand natural language. If you can understand the words around a word, you can understand the word itself. What does this mean? Well, with NNs, you can understand words with semantic vector representations of those words. You do this by training neural networks to predict context based off of the word provided.

Take the following sentence:

Tanmay and Rob are writing a book on Watson, a Machine-Learning-as-a-Service platform.