Description
Build next-generation Artificial Intelligence systems with Java

Key Features

   Implement AI techniques to build smart applications using Deeplearning4j
   Perform big data analytics to derive quality insights using Spark MLlib
   Create self-learning systems using neural networks, NLP, and reinforcement learning

Book Description

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.

What you will learn

   Manage Artificial Intelligence techniques for big data with Java
   Build smart systems to analyze data for enhanced customer experience
   Learn to use Artificial Intelligence frameworks for big data
   Understand complex problems with algorithms and Neuro-Fuzzy systems
   Design stratagems to leverage data using Machine Learning process
   Apply Deep Learning techniques to prepare data for modeling
   Construct models that learn from data using open source tools
   Analyze big data problems using scalable Machine Learning algorithms

Who This Book Is For

This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.

Table of Contents

   Big Data and Artificial Intelligence systems
   Ontology for Big Data
   Learning from Big Data
   Neural Network for Big Data
   Deep Big Data Analytics
   Natural Language Processing
   Fuzzy Systems
   Genetic Programming
   Swarm Intelligence
   Reinforcement Learning
   Cyber Security
   Cognitive Computing