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

Applications in big data analytics


Every passing minute, we are gathering more data across the globe and we now have computing power to store and process the data assets. Let us briefly understand the fundamental architecture of big data systems. In the current form, the big data computing framework is an enormous collection of computation nodes that are distributed across the globe. There are two primary distinctions within the deployments. The systems can be deployed on-premise for the enterprises and there is a paradigm shift towards cloud computing where the compute infrastructure is virtualized and it is geographically distributed in various regions.

The independent units of compute are termed as nodes. The nodes are interconnected and controlled by a centralized computation unit that keeps track of all the nodes and various operations on these nodes. There is a similarity between the natural swarms and the big data nodes in that the nodes are independent work units. However, the similarity...