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

Opt4J library


Opt4J is a modular framework for meta-heuristic optimization that can be applied to a range of evolutionary algorithms. In the context of this chapter, we are looking at implementing SI algorithms such as ACO and PSO using the library. The libraries that deal with optimization problems have three primary components at abstract level. Creator, decoder, and evaluator. The creator provides random genotypes (please refer to Chapter 8Genetic Programming, for details on genotype and phenotypes) from the search space. They represent agents in case of SI algorithms. The agents are created by the creator object.

The Opt4J library provides an org.opt4j.optimizers.mopso.Particle class that works as a creator. The agents within the swarm are the instances of this class that are actually created by a factory class' org.opt4j.optimizers.mopso.ParticleFactoryThe decoder transforms a genotype to a phenotype. The decoder converts the abstract characteristics into tangible objects and associate...