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

Swarm intelligence 


Swarm intelligence is inspired by group behavior of species such as ants, termites, and bees. In these species, behavior of a group to achieve common bigger goals is beyond the capability of individuals who are part of the group. However, each individual in their limited capacity as per their capability helps in achieving common behavior of the group. As a group, these species behave intelligently without any excessive centralized authority or governance. In the computer science field, SI is a collection of algorithms and concepts which model and formalize such intelligent group behavior.

At a very high level, SI can be seen as a system that focuses on achieving useful smart behavior that is the outcome of the cooperative efforts of individuals who are part of a group (also called swarm). These individuals are called agents. Each of these agents is homogeneous in nature. They work asynchronously and in parallel without any centralized control or excessive governance. Overall...