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

Fuzzy logic fundamentals


Let's quickly understand how human interactions are seamless, even with a degree of vagueness within our statements. A statement such as John is tall does not have any indication of John's exact height in inches or centimeters. However, within the context of the conversation, two people communicating with each other can understand and infer from it. Now, consider that this conversation is taking place between two teachers in a school about a second grade student, John. Within this context, the statement John is tall means a certain height and we are really good at understanding and inferring contextual meaning from this vague information. The fundamental concept of fuzzy logic originates from the fact that with an increase in the complexity of the environmental context, our ability to make precise and exact statements about the state diminishes, yet in spite of that, the human brain is capable of drawing precise inferences. Fuzzy logic represents a degree of truth...