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 studied the basic concepts of cyber security and the significance of Big Data in dealing with threats to the security of critical applications. Big data processing has two fundamental types, batch processing and real-time processing, for streaming data sources. We have studied the fundamental concepts and frameworks in batch and real-time processing.

Real-time stream-based processing is important in dealing with cyber security threats. We have seen the different types of common security threats and vulnerabilities exploited by the attackers. Machine learning and AI are largely democratized and leveraged by attackers for sophisticated attacks on the CIs. This makes utilization of machine learning and AI a critical consideration while building the systems which deal with cyber security attacks. We have reviewed the basic building blocks of the SIEM systems and a couple of examples, Splunk and ArcSight SEM, as two of the most popular SIEM frameworks. The field...