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

Encog machine learning framework


Encog is an advanced ML framework that supports a variety of algorithms including Neural Networks and Genetic algorithms. It supports Java and .NET APIs along with a workbench that has an easy to use user interface for running various tests and experiments with the datasets. The training algorithm implementations are multi-threaded and support multi-core hardware. In this section, we are going to see general use of the Encog framework and specifically its support for genetic programming (GP) to implement genetic algorithms (GAs). 

Encog development environment setup

The core libraries for the Encog framework can be acquired from the Git repository and built as a Maven project within your development environment as follows: 

https://github.com/encog/encog-java-core
mvn package

Encog API structure

The core API is a simple object-oriented paradigm with three core functional blocks:

  • Machine learning methods: Each model type in Encog is represented as a machine learning...