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

Summary


In this chapter, we have seen an interesting aspect in building AI. Nature has the best algorithm when it comes to harmoniously managing an extremely complex ecosystem that has a massive scale. We take inspiration from nature and some of the smallest creatures that have tiny brains and hence a very small number of neurons compared to human beings. However, these small creatures are able to collectively achieve feats that are far bigger than the sum of their individual capabilities. The operating principles of these community creatures cannot be ignored when we are on a quest to build AI systems that complement and augment human capabilities.

In this chapter, we have seen some of the fundamental concepts of natural swarm intelligence and some of the principles we need to consider while developing modern systems based on SI. We have tried to represent the collective behaviors in a mathematical form and derive some of the patterns in developing the algorithmic behavior for the artificial...