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 9. Swarm Intelligence

At some point in time, all of you must have observed the behavior of ants. The way they move in a coordinated line one behind another, the way they collect and carry foods (larger than their size) to their nests, the way they form bridges to cover larger gaps. All these behaviors are remarkable considering the fact that the brains in these small creatures are nowhere close to the human brain in terms of number of neurons and hence the connections. This type of ordering is inherent to the natural processes and governed remarkably. One important point to note here is that these insects are very small and it is not in their individual capacity to achieve such larger goals. However, when they work as a group they are able to achieve such bigger goals. In light of that, these insects are also called social insects.

Social insects have certain prominent characteristics. They live in colonies, they have division of labor, they have strong group interactions (direct...