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

MASON Library


 Multi-AgentSimulationOfNeighborhoods or Networks (MASON) is a Java-based multi-agent simulation library that has a generic API library in order to easily simulate SI algorithms in particular and any general algorithm that explores the search space with the use of independent agents in general. This library is created by George Mason at the University's Center for Social Complexity and Department of Computer Science. It provides a fast and portable core written in Java programming language and is supported by visualization framework for hypothesis testing and visualization. It is a handy framework for modeling new architectures and algorithms. The design goals for the MASON library are:

  • Provide a large number of simulations and configurable experiments. The library is very easy to extend for additional simulations and use cases. 
  • High Degree of modularity and flexibility—the framework is built as a layered architecture and it deploys object oriented fundamentals for keeping the...