Book Image

Artificial Intelligence for Big Data

By : Anand Deshpande, Manish Kumar
Book Image

Artificial Intelligence for Big Data

By: Anand Deshpande, Manish Kumar

Overview of this book

In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Chapter 12. Cognitive Computing

So far in this book, we have studied the general principles of machine learning (ML) and artificial intelligence (AI). This is a good foundation and a starting point for creating intelligent machines that can complement and augment human capabilities. This is possible with the ever increasing computational power along with the availability of ever growing volumes of data. However, in order to build artificial machines that can potentially match (or inch closer to) the human brain, we need to develop our understanding of human cognition.

While a tremendous amount of research and thinking has happened for so many decades (or centuries), we are far from fully decoding nature's program when it comes to human cognition. In this chapter, we will initiate the reader on cognitive science and introduce some of the frameworks that are available to take the research forward. During the course of this final chapter, we will introduce you to the following:

  • General principles...