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 understood the fundamental theory of fuzzy logic. It is imperative that as we build intelligent machines with ever-growing volumes of data that is available from discrete sources in structured, unstructured, and semi-structured forms, machines need the ability to interface with the real world in the same way as human beings do. We do not need explicit mathematical input to make our decisions. In the same way, if we are able to interpret natural language and apply fuzzy techniques to computation, we will be able to create smart machines that really complement humans.

The mathematical theory of fuzzy systems is decades old. However, with the advent of massive data storage and processing frameworks, practical implementations are possible especially with the convergence of fuzzy logic and deep neural networks, and a truly intelligent, self-learning system will be a reality very soon. This chapter has created the foundation for modeling and bringing our systems even...